diff --git a/doc/changes/changes_0.6.0.md b/doc/changes/changes_0.6.0.md
index f7d2136c..14b85a71 100644
--- a/doc/changes/changes_0.6.0.md
+++ b/doc/changes/changes_0.6.0.md
@@ -13,7 +13,8 @@ T.B.D
 
 ### Bug Fixes
 
- -  # 134: Fixed slc download still assuming existence of slc-parts
+ - # 134: Fixed slc download still assuming existence of slc-parts
+ - # 124: Fixed input validation in extract_unique_model_dataframes_from_batch
 
 ### Refactorings
 
diff --git a/exasol_transformers_extension/udfs/models/base_model_udf.py b/exasol_transformers_extension/udfs/models/base_model_udf.py
index edccfc32..5f4a311a 100644
--- a/exasol_transformers_extension/udfs/models/base_model_udf.py
+++ b/exasol_transformers_extension/udfs/models/base_model_udf.py
@@ -51,7 +51,6 @@ def run(self, ctx):
             batch_df = ctx.get_dataframe(num_rows=self.batch_size, start_col=1)
             if batch_df is None:
                 break
-
             predictions_df = self.get_predictions_from_batch(batch_df)
             ctx.emit(predictions_df)
 
@@ -66,8 +65,12 @@ def get_predictions_from_batch(self, batch_df: pd.DataFrame) -> pd.DataFrame:
         :return: Prediction results of the corresponding batched dataframe
         """
         result_df_list = []
-        for model_df in \
-                self.extract_unique_model_dataframes_from_batch(batch_df):
+
+        unique_model_dataframes = self.extract_unique_model_dataframes_from_batch(self, batch_df)
+        for model_df in unique_model_dataframes:
+            if "error_message" in model_df:
+                result_df_list.append(model_df)
+                continue
             try:
                 self.check_cache(model_df)
             except Exception as exc:
@@ -95,8 +98,7 @@ def get_prediction_from_unique_param_based_dataframes(self, model_df) \
         :return: List of prediction results
         """
         result_df_list = []
-        for param_based_model_df in \
-                self.extract_unique_param_based_dataframes(model_df):
+        for param_based_model_df in self.extract_unique_param_based_dataframes(model_df):
             try:
                 result_df = self.get_prediction(param_based_model_df)
                 result_df_list.append(result_df)
@@ -105,11 +107,17 @@ def get_prediction_from_unique_param_based_dataframes(self, model_df) \
                 result_with_error_df = self.get_result_with_error(
                     param_based_model_df, stack_trace)
                 result_df_list.append(result_with_error_df)
-
         return result_df_list
 
     @staticmethod
-    def extract_unique_model_dataframes_from_batch(
+    def _check_values_not_null(model_name, bucketfs_conn, sub_dir):
+        if not (model_name and bucketfs_conn and sub_dir):
+            error_message = f"For each model model_name, bucketfs_conn and sub_dir need to be provided. " \
+                            f"Found model_name = {model_name}, bucketfs_conn = {bucketfs_conn}, sub_dir = {sub_dir}"
+            raise ValueError(error_message)
+
+    @staticmethod
+    def extract_unique_model_dataframes_from_batch(self,
             batch_df: pd.DataFrame) -> Iterator[pd.DataFrame]:
         """
         Extract unique model dataframes with the same model_name, bucketfs_conn,
@@ -123,12 +131,23 @@ def extract_unique_model_dataframes_from_batch(
 
         unique_values = dataframe_operations.get_unique_values(
             batch_df, constants.ORDERED_COLUMNS, sort=True)
+
         for model_name, bucketfs_conn, token_conn, sub_dir in unique_values:
+            try:
+                self._check_values_not_null(model_name, bucketfs_conn, sub_dir)
+            except ValueError:
+                stack_trace = traceback.format_exc()
+                result_with_error_df = self.get_result_with_error(
+                    batch_df, stack_trace)
+                yield result_with_error_df
+                return
+
             selections = (
                     (batch_df['model_name'] == model_name) &
                     (batch_df['bucketfs_conn'] == bucketfs_conn) &
                     (batch_df['sub_dir'] == sub_dir)
             )
+
             if token_conn is None:
                 selections = selections & pd.isnull(batch_df['token_conn'])
             else:
diff --git a/poetry.lock b/poetry.lock
index 68e4737b..6f489130 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -2,17 +2,17 @@
 
 [[package]]
 name = "accelerate"
-version = "0.22.0"
+version = "0.24.0"
 description = "Accelerate"
 category = "main"
 optional = false
 python-versions = ">=3.8.0"
 files = [
-    {file = "accelerate-0.22.0-py3-none-any.whl", hash = "sha256:d132e57bfc4b0417464997b14aa141fd88696cbb4472eb03116c2bd97542befc"},
-    {file = "accelerate-0.22.0.tar.gz", hash = "sha256:2b0a83e3cd07c89448c5d5a94f72bc1db98d5e0c498ca17984871f01dbf83247"},
+    {file = "accelerate-0.24.0-py3-none-any.whl", hash = "sha256:04bb1483c90eacb3beb2687cb54950d8caf9a0b93432f6b2d42efebbb6c0491e"},
 ]
 
 [package.dependencies]
+huggingface-hub = "*"
 numpy = ">=1.17"
 packaging = ">=20.0"
 psutil = "*"
@@ -20,25 +20,25 @@ pyyaml = "*"
 torch = ">=1.10.0"
 
 [package.extras]
-dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "deepspeed", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.0.241)", "scikit-learn", "scipy", "tqdm", "transformers", "urllib3 (<2.0.0)"]
+dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "deepspeed", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.0.241)", "scikit-learn", "scipy", "timm", "tqdm", "transformers", "urllib3 (<2.0.0)"]
 quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.0.241)", "urllib3 (<2.0.0)"]
 rich = ["rich"]
 sagemaker = ["sagemaker"]
-test-dev = ["bitsandbytes", "datasets", "deepspeed", "evaluate", "scikit-learn", "scipy", "tqdm", "transformers"]
+test-dev = ["bitsandbytes", "datasets", "deepspeed", "evaluate", "scikit-learn", "scipy", "timm", "tqdm", "transformers"]
 test-prod = ["parameterized", "pytest", "pytest-subtests", "pytest-xdist"]
 test-trackers = ["comet-ml", "tensorboard", "wandb"]
-testing = ["bitsandbytes", "datasets", "deepspeed", "evaluate", "parameterized", "pytest", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "tqdm", "transformers"]
+testing = ["bitsandbytes", "datasets", "deepspeed", "evaluate", "parameterized", "pytest", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "tqdm", "transformers"]
 
 [[package]]
 name = "argcomplete"
-version = "3.1.1"
+version = "3.1.2"
 description = "Bash tab completion for argparse"
 category = "dev"
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "argcomplete-3.1.1-py3-none-any.whl", hash = "sha256:35fa893a88deea85ea7b20d241100e64516d6af6d7b0ae2bed1d263d26f70948"},
-    {file = "argcomplete-3.1.1.tar.gz", hash = "sha256:6c4c563f14f01440aaffa3eae13441c5db2357b5eec639abe7c0b15334627dff"},
+    {file = "argcomplete-3.1.2-py3-none-any.whl", hash = "sha256:d97c036d12a752d1079f190bc1521c545b941fda89ad85d15afa909b4d1b9a99"},
+    {file = "argcomplete-3.1.2.tar.gz", hash = "sha256:d5d1e5efd41435260b8f85673b74ea2e883affcbec9f4230c582689e8e78251b"},
 ]
 
 [package.extras]
@@ -93,76 +93,64 @@ files = [
 
 [[package]]
 name = "cffi"
-version = "1.15.1"
+version = "1.16.0"
 description = "Foreign Function Interface for Python calling C code."
 category = "main"
 optional = false
-python-versions = "*"
+python-versions = ">=3.8"
 files = [
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 [package.dependencies]
@@ -170,87 +158,102 @@ pycparser = "*"
 
 [[package]]
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 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 category = "main"
 optional = false
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 [[package]]
@@ -315,35 +318,35 @@ six = "*"
 
 [[package]]
 name = "cryptography"
-version = "41.0.3"
+version = "41.0.5"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 category = "main"
 optional = false
 python-versions = ">=3.7"
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 ]
 
 [package.dependencies]
@@ -538,7 +541,7 @@ pandas = "^1.4"
 type = "git"
 url = "https://github.com/exasol/udf-mock-python.git"
 reference = "main"
-resolved_reference = "2088d62a7457fd78d8152a2181d459d9d6bd4b0d"
+resolved_reference = "81abae735e2d44f8a3ae5e7559eeb942b327d76a"
 
 [[package]]
 name = "exceptiongroup"
@@ -578,33 +581,31 @@ pytest = ["pytest (>=7)"]
 
 [[package]]
 name = "filelock"
-version = "3.12.3"
+version = "3.12.4"
 description = "A platform independent file lock."
 category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "filelock-3.12.3-py3-none-any.whl", hash = "sha256:f067e40ccc40f2b48395a80fcbd4728262fab54e232e090a4063ab804179efeb"},
-    {file = "filelock-3.12.3.tar.gz", hash = "sha256:0ecc1dd2ec4672a10c8550a8182f1bd0c0a5088470ecd5a125e45f49472fac3d"},
+    {file = "filelock-3.12.4-py3-none-any.whl", hash = "sha256:08c21d87ded6e2b9da6728c3dff51baf1dcecf973b768ef35bcbc3447edb9ad4"},
+    {file = "filelock-3.12.4.tar.gz", hash = "sha256:2e6f249f1f3654291606e046b09f1fd5eac39b360664c27f5aad072012f8bcbd"},
 ]
 
-[package.dependencies]
-typing-extensions = {version = ">=4.7.1", markers = "python_version < \"3.11\""}
-
 [package.extras]
 docs = ["furo (>=2023.7.26)", "sphinx (>=7.1.2)", "sphinx-autodoc-typehints (>=1.24)"]
 testing = ["covdefaults (>=2.3)", "coverage (>=7.3)", "diff-cover (>=7.7)", "pytest (>=7.4)", "pytest-cov (>=4.1)", "pytest-mock (>=3.11.1)", "pytest-timeout (>=2.1)"]
+typing = ["typing-extensions (>=4.7.1)"]
 
 [[package]]
 name = "fsspec"
-version = "2023.9.0"
+version = "2023.10.0"
 description = "File-system specification"
 category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "fsspec-2023.9.0-py3-none-any.whl", hash = "sha256:d55b9ab2a4c1f2b759888ae9f93e40c2aa72c0808132e87e282b549f9e6c4254"},
-    {file = "fsspec-2023.9.0.tar.gz", hash = "sha256:4dbf0fefee035b7c6d3bbbe6bc99b2f201f40d4dca95b67c2b719be77bcd917f"},
+    {file = "fsspec-2023.10.0-py3-none-any.whl", hash = "sha256:346a8f024efeb749d2a5fca7ba8854474b1ff9af7c3faaf636a4548781136529"},
+    {file = "fsspec-2023.10.0.tar.gz", hash = "sha256:330c66757591df346ad3091a53bd907e15348c2ba17d63fd54f5c39c4457d2a5"},
 ]
 
 [package.extras]
@@ -633,14 +634,14 @@ tqdm = ["tqdm"]
 
 [[package]]
 name = "gitdb"
-version = "4.0.10"
+version = "4.0.11"
 description = "Git Object Database"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "gitdb-4.0.10-py3-none-any.whl", hash = "sha256:c286cf298426064079ed96a9e4a9d39e7f3e9bf15ba60701e95f5492f28415c7"},
-    {file = "gitdb-4.0.10.tar.gz", hash = "sha256:6eb990b69df4e15bad899ea868dc46572c3f75339735663b81de79b06f17eb9a"},
+    {file = "gitdb-4.0.11-py3-none-any.whl", hash = "sha256:81a3407ddd2ee8df444cbacea00e2d038e40150acfa3001696fe0dcf1d3adfa4"},
+    {file = "gitdb-4.0.11.tar.gz", hash = "sha256:bf5421126136d6d0af55bc1e7c1af1c397a34f5b7bd79e776cd3e89785c2b04b"},
 ]
 
 [package.dependencies]
@@ -648,29 +649,32 @@ smmap = ">=3.0.1,<6"
 
 [[package]]
 name = "gitpython"
-version = "3.1.35"
+version = "3.1.40"
 description = "GitPython is a Python library used to interact with Git repositories"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "GitPython-3.1.35-py3-none-any.whl", hash = "sha256:c19b4292d7a1d3c0f653858db273ff8a6614100d1eb1528b014ec97286193c09"},
-    {file = "GitPython-3.1.35.tar.gz", hash = "sha256:9cbefbd1789a5fe9bcf621bb34d3f441f3a90c8461d377f84eda73e721d9b06b"},
+    {file = "GitPython-3.1.40-py3-none-any.whl", hash = "sha256:cf14627d5a8049ffbf49915732e5eddbe8134c3bdb9d476e6182b676fc573f8a"},
+    {file = "GitPython-3.1.40.tar.gz", hash = "sha256:22b126e9ffb671fdd0c129796343a02bf67bf2994b35449ffc9321aa755e18a4"},
 ]
 
 [package.dependencies]
 gitdb = ">=4.0.1,<5"
 
+[package.extras]
+test = ["black", "coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre-commit", "pytest", "pytest-cov", "pytest-instafail", "pytest-subtests", "pytest-sugar"]
+
 [[package]]
 name = "huggingface-hub"
-version = "0.16.4"
+version = "0.17.3"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 category = "main"
 optional = false
-python-versions = ">=3.7.0"
+python-versions = ">=3.8.0"
 files = [
-    {file = "huggingface_hub-0.16.4-py3-none-any.whl", hash = "sha256:0d3df29932f334fead024afc7cb4cc5149d955238b8b5e42dcf9740d6995a349"},
-    {file = "huggingface_hub-0.16.4.tar.gz", hash = "sha256:608c7d4f3d368b326d1747f91523dbd1f692871e8e2e7a4750314a2dd8b63e14"},
+    {file = "huggingface_hub-0.17.3-py3-none-any.whl", hash = "sha256:545eb3665f6ac587add946e73984148f2ea5c7877eac2e845549730570c1933a"},
+    {file = "huggingface_hub-0.17.3.tar.gz", hash = "sha256:40439632b211311f788964602bf8b0d9d6b7a2314fba4e8d67b2ce3ecea0e3fd"},
 ]
 
 [package.dependencies]
@@ -683,16 +687,17 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (==23.7)", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (<2.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
 cli = ["InquirerPy (==0.3.4)"]
-dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (==23.7)", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (<2.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
+docs = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (==23.7)", "gradio", "hf-doc-builder", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (<2.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)", "watchdog"]
 fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
-inference = ["aiohttp", "pydantic"]
-quality = ["black (>=23.1,<24.0)", "mypy (==0.982)", "ruff (>=0.0.241)"]
+inference = ["aiohttp", "pydantic (<2.0)"]
+quality = ["black (==23.7)", "mypy (==1.5.1)", "ruff (>=0.0.241)"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic (<2.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
 torch = ["torch"]
-typing = ["pydantic", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
+typing = ["pydantic (<2.0)", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
 
 [[package]]
 name = "humanfriendly"
@@ -845,13 +850,13 @@ files = [
 
 [[package]]
 name = "luigi"
-version = "3.3.0"
+version = "3.4.0"
 description = "Workflow mgmgt + task scheduling + dependency resolution."
 category = "dev"
 optional = false
 python-versions = "*"
 files = [
-    {file = "luigi-3.3.0.tar.gz", hash = "sha256:cc8642deb6e22f0601ee8df8ad3de639a81521b7e663a7a5044919185ad2b357"},
+    {file = "luigi-3.4.0.tar.gz", hash = "sha256:db61ab165d33b6eb4920f81a55f1d22a21db1afa195f3a478e2ab4a5a14b8097"},
 ]
 
 [package.dependencies]
@@ -945,14 +950,14 @@ tests = ["pytest (>=4.6)"]
 
 [[package]]
 name = "netaddr"
-version = "0.8.0"
+version = "0.9.0"
 description = "A network address manipulation library for Python"
 category = "dev"
 optional = false
 python-versions = "*"
 files = [
-    {file = "netaddr-0.8.0-py2.py3-none-any.whl", hash = "sha256:9666d0232c32d2656e5e5f8d735f58fd6c7457ce52fc21c98d45f2af78f990ac"},
-    {file = "netaddr-0.8.0.tar.gz", hash = "sha256:d6cc57c7a07b1d9d2e917aa8b36ae8ce61c35ba3fcd1b83ca31c5a0ee2b5a243"},
+    {file = "netaddr-0.9.0-py3-none-any.whl", hash = "sha256:5148b1055679d2a1ec070c521b7db82137887fabd6d7e37f5199b44f775c3bb1"},
+    {file = "netaddr-0.9.0.tar.gz", hash = "sha256:7b46fa9b1a2d71fd5de9e4a3784ef339700a53a08c8040f08baf5f1194da0128"},
 ]
 
 [[package]]
@@ -1035,14 +1040,14 @@ files = [
 
 [[package]]
 name = "packaging"
-version = "23.1"
+version = "23.2"
 description = "Core utilities for Python packages"
 category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "packaging-23.1-py3-none-any.whl", hash = "sha256:994793af429502c4ea2ebf6bf664629d07c1a9fe974af92966e4b8d2df7edc61"},
-    {file = "packaging-23.1.tar.gz", hash = "sha256:a392980d2b6cffa644431898be54b0045151319d1e7ec34f0cfed48767dd334f"},
+    {file = "packaging-23.2-py3-none-any.whl", hash = "sha256:8c491190033a9af7e1d931d0b5dacc2ef47509b34dd0de67ed209b5203fc88c7"},
+    {file = "packaging-23.2.tar.gz", hash = "sha256:048fb0e9405036518eaaf48a55953c750c11e1a1b68e0dd1a9d62ed0c092cfc5"},
 ]
 
 [[package]]
@@ -1118,14 +1123,14 @@ invoke = ["invoke (>=2.0)"]
 
 [[package]]
 name = "platformdirs"
-version = "3.10.0"
+version = "3.11.0"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
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-    {file = "platformdirs-3.10.0.tar.gz", hash = "sha256:b45696dab2d7cc691a3226759c0d3b00c47c8b6e293d96f6436f733303f77f6d"},
+    {file = "platformdirs-3.11.0-py3-none-any.whl", hash = "sha256:e9d171d00af68be50e9202731309c4e658fd8bc76f55c11c7dd760d023bda68e"},
+    {file = "platformdirs-3.11.0.tar.gz", hash = "sha256:cf8ee52a3afdb965072dcc652433e0c7e3e40cf5ea1477cd4b3b1d2eb75495b3"},
 ]
 
 [package.extras]
@@ -1150,14 +1155,14 @@ testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
 name = "portalocker"
-version = "2.7.0"
+version = "2.8.2"
 description = "Wraps the portalocker recipe for easy usage"
 category = "dev"
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.8"
 files = [
-    {file = "portalocker-2.7.0-py2.py3-none-any.whl", hash = "sha256:a07c5b4f3985c3cf4798369631fb7011adb498e2a46d8440efc75a8f29a0f983"},
-    {file = "portalocker-2.7.0.tar.gz", hash = "sha256:032e81d534a88ec1736d03f780ba073f047a06c478b06e2937486f334e955c51"},
+    {file = "portalocker-2.8.2-py3-none-any.whl", hash = "sha256:cfb86acc09b9aa7c3b43594e19be1345b9d16af3feb08bf92f23d4dce513a28e"},
+    {file = "portalocker-2.8.2.tar.gz", hash = "sha256:2b035aa7828e46c58e9b31390ee1f169b98e1066ab10b9a6a861fe7e25ee4f33"},
 ]
 
 [package.dependencies]
@@ -1166,30 +1171,32 @@ pywin32 = {version = ">=226", markers = "platform_system == \"Windows\""}
 [package.extras]
 docs = ["sphinx (>=1.7.1)"]
 redis = ["redis"]
-tests = ["pytest (>=5.4.1)", "pytest-cov (>=2.8.1)", "pytest-mypy (>=0.8.0)", "pytest-timeout (>=2.1.0)", "redis", "sphinx (>=6.0.0)"]
+tests = ["pytest (>=5.4.1)", "pytest-cov (>=2.8.1)", "pytest-mypy (>=0.8.0)", "pytest-timeout (>=2.1.0)", "redis", "sphinx (>=6.0.0)", "types-redis"]
 
 [[package]]
 name = "psutil"
-version = "5.9.5"
+version = "5.9.6"
 description = "Cross-platform lib for process and system monitoring in Python."
 category = "main"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
-files = [
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 ]
 
+[package.dependencies]
+huggingface_hub = ">=0.16.4,<0.18"
+
 [package.extras]
-dev = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
-docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"]
+dev = ["tokenizers[testing]"]
+docs = ["setuptools_rust", "sphinx", "sphinx_rtd_theme"]
 testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
 
 [[package]]
@@ -2014,42 +2135,42 @@ telegram = ["requests"]
 
 [[package]]
 name = "transformers"
-version = "4.33.1"
+version = "4.34.1"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 category = "main"
 optional = false
 python-versions = ">=3.8.0"
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 ]
 
 [package.dependencies]
 accelerate = {version = ">=0.20.3", optional = true, markers = "extra == \"torch\""}
 filelock = "*"
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 numpy = ">=1.17"
 packaging = ">=20.0"
 pyyaml = ">=5.1"
 regex = "!=2019.12.17"
 requests = "*"
 safetensors = ">=0.3.1"
-tokenizers = ">=0.11.1,<0.11.3 || >0.11.3,<0.14"
+tokenizers = ">=0.14,<0.15"
 torch = {version = ">=1.10,<1.12.0 || >1.12.0", optional = true, markers = "extra == \"torch\""}
 tqdm = ">=4.27"
 
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 codecarbon = ["codecarbon (==1.2.0)"]
 deepspeed = ["accelerate (>=0.20.3)", "deepspeed (>=0.9.3)"]
 deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.20.3)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "optuna", "parameterized", "protobuf", "psutil", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "timeout-decorator"]
-dev = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "accelerate (>=0.20.3)", "av (==9.2.0)", "beautifulsoup4", "black (>=23.1,<24.0)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "ray[tune]", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx", "timeout-decorator", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.10,!=1.12.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
-dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "urllib3 (<2.0.0)"]
-dev-torch = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "accelerate (>=0.20.3)", "beautifulsoup4", "black (>=23.1,<24.0)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "ray[tune]", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "timeout-decorator", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.10,!=1.12.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
-docs = ["Pillow (<10.0.0)", "accelerate (>=0.20.3)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "hf-doc-builder", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune]", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.10,!=1.12.0)", "torchaudio", "torchvision"]
+dev = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "accelerate (>=0.20.3)", "av (==9.2.0)", "beautifulsoup4", "black (>=23.1,<24.0)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "ray[tune]", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx", "timeout-decorator", "timm", "tokenizers (>=0.14,<0.15)", "torch (>=1.10,!=1.12.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
+dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.14,<0.15)", "urllib3 (<2.0.0)"]
+dev-torch = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "accelerate (>=0.20.3)", "beautifulsoup4", "black (>=23.1,<24.0)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "ray[tune]", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "timeout-decorator", "timm", "tokenizers (>=0.14,<0.15)", "torch (>=1.10,!=1.12.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
+docs = ["Pillow (<10.0.0)", "accelerate (>=0.20.3)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "hf-doc-builder", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune]", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx", "timm", "tokenizers (>=0.14,<0.15)", "torch (>=1.10,!=1.12.0)", "torchaudio", "torchvision"]
 docs-specific = ["hf-doc-builder"]
 fairscale = ["fairscale (>0.3)"]
 flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)"]
@@ -2076,11 +2197,11 @@ tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>=2.6,<2.15)",
 tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx"]
 tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 timm = ["timm"]
-tokenizers = ["tokenizers (>=0.11.1,!=0.11.3,<0.14)"]
+tokenizers = ["tokenizers (>=0.14,<0.15)"]
 torch = ["accelerate (>=0.20.3)", "torch (>=1.10,!=1.12.0)"]
 torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
 torch-vision = ["Pillow (<10.0.0)", "torchvision"]
-torchhub = ["filelock", "huggingface-hub (>=0.15.1,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.10,!=1.12.0)", "tqdm (>=4.27)"]
+torchhub = ["filelock", "huggingface-hub (>=0.16.4,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.14,<0.15)", "torch (>=1.10,!=1.12.0)", "tqdm (>=4.27)"]
 video = ["av (==9.2.0)", "decord (==0.6.0)"]
 vision = ["Pillow (<10.0.0)"]
 
@@ -2102,26 +2223,26 @@ test = ["mypy", "pytest", "typing-extensions"]
 
 [[package]]
 name = "typing-extensions"
-version = "4.7.1"
-description = "Backported and Experimental Type Hints for Python 3.7+"
+version = "4.8.0"
+description = "Backported and Experimental Type Hints for Python 3.8+"
 category = "main"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "typing_extensions-4.7.1-py3-none-any.whl", hash = "sha256:440d5dd3af93b060174bf433bccd69b0babc3b15b1a8dca43789fd7f61514b36"},
-    {file = "typing_extensions-4.7.1.tar.gz", hash = "sha256:b75ddc264f0ba5615db7ba217daeb99701ad295353c45f9e95963337ceeeffb2"},
+    {file = "typing_extensions-4.8.0-py3-none-any.whl", hash = "sha256:8f92fc8806f9a6b641eaa5318da32b44d401efaac0f6678c9bc448ba3605faa0"},
+    {file = "typing_extensions-4.8.0.tar.gz", hash = "sha256:df8e4339e9cb77357558cbdbceca33c303714cf861d1eef15e1070055ae8b7ef"},
 ]
 
 [[package]]
 name = "urllib3"
-version = "2.0.4"
+version = "2.0.7"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "urllib3-2.0.4-py3-none-any.whl", hash = "sha256:de7df1803967d2c2a98e4b11bb7d6bd9210474c46e8a0401514e3a42a75ebde4"},
-    {file = "urllib3-2.0.4.tar.gz", hash = "sha256:8d22f86aae8ef5e410d4f539fde9ce6b2113a001bb4d189e0aed70642d602b11"},
+    {file = "urllib3-2.0.7-py3-none-any.whl", hash = "sha256:fdb6d215c776278489906c2f8916e6e7d4f5a9b602ccbcfdf7f016fc8da0596e"},
+    {file = "urllib3-2.0.7.tar.gz", hash = "sha256:c97dfde1f7bd43a71c8d2a58e369e9b2bf692d1334ea9f9cae55add7d0dd0f84"},
 ]
 
 [package.extras]
@@ -2132,14 +2253,14 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "virtualenv"
-version = "20.24.5"
+version = "20.24.6"
 description = "Virtual Python Environment builder"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "virtualenv-20.24.5-py3-none-any.whl", hash = "sha256:b80039f280f4919c77b30f1c23294ae357c4c8701042086e3fc005963e4e537b"},
-    {file = "virtualenv-20.24.5.tar.gz", hash = "sha256:e8361967f6da6fbdf1426483bfe9fca8287c242ac0bc30429905721cefbff752"},
+    {file = "virtualenv-20.24.6-py3-none-any.whl", hash = "sha256:520d056652454c5098a00c0f073611ccbea4c79089331f60bf9d7ba247bb7381"},
+    {file = "virtualenv-20.24.6.tar.gz", hash = "sha256:02ece4f56fbf939dbbc33c0715159951d6bf14aaf5457b092e4548e1382455af"},
 ]
 
 [package.dependencies]
@@ -2153,14 +2274,14 @@ test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess
 
 [[package]]
 name = "websocket-client"
-version = "1.6.2"
+version = "1.6.4"
 description = "WebSocket client for Python with low level API options"
 category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "websocket-client-1.6.2.tar.gz", hash = "sha256:53e95c826bf800c4c465f50093a8c4ff091c7327023b10bfaff40cf1ef170eaa"},
-    {file = "websocket_client-1.6.2-py3-none-any.whl", hash = "sha256:ce54f419dfae71f4bdba69ebe65bf7f0a93fe71bc009ad3a010aacc3eebad537"},
+    {file = "websocket-client-1.6.4.tar.gz", hash = "sha256:b3324019b3c28572086c4a319f91d1dcd44e6e11cd340232978c684a7650d0df"},
+    {file = "websocket_client-1.6.4-py3-none-any.whl", hash = "sha256:084072e0a7f5f347ef2ac3d8698a5e0b4ffbfcab607628cadabc650fc9a83a24"},
 ]
 
 [package.extras]
@@ -2255,18 +2376,18 @@ files = [
 
 [[package]]
 name = "zipp"
-version = "3.16.2"
+version = "3.17.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "zipp-3.16.2-py3-none-any.whl", hash = "sha256:679e51dd4403591b2d6838a48de3d283f3d188412a9782faadf845f298736ba0"},
-    {file = "zipp-3.16.2.tar.gz", hash = "sha256:ebc15946aa78bd63458992fc81ec3b6f7b1e92d51c35e6de1c3804e73b799147"},
+    {file = "zipp-3.17.0-py3-none-any.whl", hash = "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31"},
+    {file = "zipp-3.17.0.tar.gz", hash = "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0"},
 ]
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
 testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
 
 [metadata]
diff --git a/tests/unit_tests/udfs/base_model_dummy_implementation.py b/tests/unit_tests/udfs/base_model_dummy_implementation.py
new file mode 100644
index 00000000..40a782cd
--- /dev/null
+++ b/tests/unit_tests/udfs/base_model_dummy_implementation.py
@@ -0,0 +1,54 @@
+
+import pandas as pd
+import transformers
+from typing import List, Iterator, Any, Dict, Union
+from exasol_transformers_extension.udfs.models.base_model_udf import \
+    BaseModelUDF
+
+
+class DummyImplementationUDF(BaseModelUDF):
+    def __init__(self,
+                 exa,
+                 batch_size=100,
+                 pipeline=transformers.pipeline,
+                 base_model=transformers.AutoModel,
+                 tokenizer=transformers.AutoTokenizer):
+        super().__init__(exa, batch_size, pipeline, base_model,
+                         tokenizer, 'dummy_task')
+        self._desired_fields_in_prediction = ["answer", "score"]
+        self.new_columns = ["answer", "score", "error_message"]
+
+    def extract_unique_param_based_dataframes(
+            self, model_df: pd.DataFrame) -> Iterator[pd.DataFrame]:
+
+        yield model_df
+
+    def execute_prediction(self, model_df: pd.DataFrame) -> \
+            List[Union[Dict[str, Any], List[Dict[str, Any]]]]:
+        dummy_result = [{"answer": True, "score": "1"}]
+        return dummy_result
+
+    def append_predictions_to_input_dataframe(
+            self, model_df: pd.DataFrame, pred_df_list: List[pd.DataFrame]) \
+            -> pd.DataFrame:
+
+        # Concat predictions and model_df
+        pred_df = pd.concat(pred_df_list, axis=0).reset_index(drop=True)
+        model_df = pd.concat([model_df, pred_df], axis=1)
+        return model_df
+
+    def create_dataframes_from_predictions(
+            self, predictions: List[Union[
+                Dict[str, Any], List[Dict[str, Any]]]]) -> List[pd.DataFrame]:
+        results_df_list = []
+        for result in predictions:
+            result_df = pd.DataFrame(result, index=[0])
+            results_df_list.append(result_df)
+        return results_df_list
+
+    def load_models(self, model_name: str, token_conn_name: str) -> None:
+        token = False
+        self.last_loaded_model = self.base_model.from_pretrained(
+            model_name, cache_dir=self.cache_dir, use_auth_token=token)
+        self.last_loaded_tokenizer = self.tokenizer.from_pretrained(
+            model_name, cache_dir=self.cache_dir, use_auth_token=token)
\ No newline at end of file
diff --git a/tests/unit_tests/udfs/test_base_udf.py b/tests/unit_tests/udfs/test_base_udf.py
new file mode 100644
index 00000000..4d188541
--- /dev/null
+++ b/tests/unit_tests/udfs/test_base_udf.py
@@ -0,0 +1,141 @@
+from typing import Union, Any, Tuple, List
+from unittest.mock import create_autospec, MagicMock, call, Mock
+
+import pytest
+from exasol_bucketfs_utils_python.bucketfs_factory import BucketFSFactory
+from exasol_udf_mock_python.column import Column
+from exasol_udf_mock_python.connection import Connection
+from exasol_udf_mock_python.mock_meta_data import MockMetaData
+
+from tests.unit_tests.utils_for_udf_tests import create_mock_exa_environment, create_mock_udf_context
+from tests.unit_tests.udfs.base_model_dummy_implementation import DummyImplementationUDF
+from exasol_transformers_extension.utils.huggingface_hub_bucketfs_model_transfer import ModelFactoryProtocol
+from tests.utils.mock_cast import mock_cast
+
+
+def create_mock_metadata() -> MockMetaData:
+    def udf_wrapper():
+        pass
+
+    meta = MockMetaData(
+        script_code_wrapper_function=udf_wrapper,
+        input_type="SET",
+        input_columns=[
+            Column("device_id", int, "INTEGER"),
+            Column("model_name", str, "VARCHAR(2000000)"),
+            Column("sub_dir", str, "VARCHAR(2000000)"),
+            Column("bucketfs_conn", str, "VARCHAR(2000000)"),
+            Column("token_conn", str, "VARCHAR(2000000)"),
+        ],
+        output_type="EMITS",
+        output_columns=[
+            Column("model_name", str, "VARCHAR(2000000)"),
+            Column("sub_dir", str, "VARCHAR(2000000)"),
+            Column("bucketfs_conn", str, "VARCHAR(2000000)"),
+            Column("token_conn", str, "VARCHAR(2000000)"),
+            Column("answer", bool, "BOOLEAN"),
+            Column("score", str, "DOUBLE"),
+            Column("error_message", str, "VARCHAR(2000000)")
+        ]
+    )
+    return meta
+
+
+@pytest.mark.parametrize("description, bucketfs_conn_name, bucketfs_conn ,"
+                         "sub_dir, model_name", [
+    ("all given", "test_bucketfs_con_name", Connection(address=f"file:///test"),
+     "test_subdir", "test_model")
+])
+def test_model_downloader_all_parameters(description, bucketfs_conn_name, bucketfs_conn, sub_dir, model_name):
+    mock_base_model_factory: Union[ModelFactoryProtocol, MagicMock] = create_autospec(ModelFactoryProtocol)
+    mock_tokenizer_factory: Union[ModelFactoryProtocol, MagicMock] = create_autospec(ModelFactoryProtocol)
+
+    mock_bucketfs_factory: Union[BucketFSFactory, MagicMock] = create_autospec(BucketFSFactory)
+    mock_bucketfs_locations = [Mock()]
+    mock_cast(mock_bucketfs_factory.create_bucketfs_location).side_effect = mock_bucketfs_locations
+
+    input_data = [
+        (
+            1,
+            model_name,
+            sub_dir,
+            bucketfs_conn_name,
+            ''
+        )
+    ]
+    mock_meta = create_mock_metadata()
+    mock_exa = create_mock_exa_environment(
+        [bucketfs_conn_name],
+        [bucketfs_conn],
+        mock_meta,
+        '',
+        None)
+    mock_ctx = create_mock_udf_context(input_data, mock_meta)
+
+    udf = DummyImplementationUDF(exa=mock_exa,
+                             base_model=mock_base_model_factory,
+                             tokenizer=mock_tokenizer_factory)
+    udf.run(mock_ctx)
+    res = mock_ctx.output
+    # check if no errors
+    assert res[0][-1] is None and len(res[0]) == len(mock_meta.output_columns)
+
+
+@pytest.mark.parametrize("description, bucketfs_conn_name, bucketfs_conn ,"
+                         "sub_dir, model_name", [
+    ("all null", '', None, None, None),
+    ("model name missing", "test_bucketfs_con_name", Connection(address=f"file:///test"),
+     "test_subdir", None),
+    ("bucketfs_conn missing", None, None,
+     "test_subdir", "test_model"),
+    ("sub_dir missing", "test_bucketfs_con_name", Connection(address=f"file:///test"),
+     None, "test_model"),
+    ("model_name missing", "test_bucketfs_con_name", Connection(address=f"file:///test"),
+     "test_subdir", None)
+])
+def test_model_downloader_missing_parameters(description, bucketfs_conn_name, bucketfs_conn, sub_dir, model_name):
+    mock_base_model_factory: Union[ModelFactoryProtocol, MagicMock] = create_autospec(ModelFactoryProtocol)
+    mock_tokenizer_factory: Union[ModelFactoryProtocol, MagicMock] = create_autospec(ModelFactoryProtocol)
+
+    mock_bucketfs_factory: Union[BucketFSFactory, MagicMock] = create_autospec(BucketFSFactory)
+    mock_bucketfs_locations = [Mock()]
+    mock_cast(mock_bucketfs_factory.create_bucketfs_location).side_effect = mock_bucketfs_locations
+
+    input_data = [
+        (
+            1,
+            model_name,
+            sub_dir,
+            bucketfs_conn_name,
+            ''
+        ),
+        (
+            1,
+            model_name,
+            sub_dir,
+            bucketfs_conn_name,
+            ''
+        )
+    ]
+    mock_meta = create_mock_metadata()
+    mock_exa = create_mock_exa_environment(
+        [bucketfs_conn_name],
+        [bucketfs_conn],
+        mock_meta,
+        '',
+        None)
+    mock_ctx = create_mock_udf_context(input_data, mock_meta)
+
+    udf = DummyImplementationUDF(exa=mock_exa,
+                                 base_model=mock_base_model_factory.side_effect,
+                                 tokenizer=mock_tokenizer_factory.side_effect)
+
+    udf.run(mock_ctx)
+    res = mock_ctx.output
+    print(res)
+    error_field = res[0][-1]
+    expected_error_start = f"For each model model_name, bucketfs_conn and sub_dir need to be provided. " \
+                           f"Found model_name = {model_name},"
+    expected_error_end = f" sub_dir = {sub_dir}"
+    assert error_field is not None and len(res[0]) == len(mock_meta.output_columns)
+    assert expected_error_start in error_field and expected_error_end in error_field
\ No newline at end of file
diff --git a/tests/unit_tests/udfs/test_model_downloader_udf.py b/tests/unit_tests/udfs/test_model_downloader_udf.py
index bb629958..65295930 100644
--- a/tests/unit_tests/udfs/test_model_downloader_udf.py
+++ b/tests/unit_tests/udfs/test_model_downloader_udf.py
@@ -6,11 +6,9 @@
 from exasol_bucketfs_utils_python.bucketfs_factory import BucketFSFactory
 from exasol_udf_mock_python.column import Column
 from exasol_udf_mock_python.connection import Connection
-from exasol_udf_mock_python.group import Group
-from exasol_udf_mock_python.mock_context import MockContext
-from exasol_udf_mock_python.mock_exa_environment import MockExaEnvironment
 from exasol_udf_mock_python.mock_meta_data import MockMetaData
 
+from tests.unit_tests.utils_for_udf_tests import create_mock_exa_environment, create_mock_udf_context
 from exasol_transformers_extension.udfs.models.model_downloader_udf import \
     ModelDownloaderUDF
 from exasol_transformers_extension.utils.huggingface_hub_bucketfs_model_transfer import ModelFactoryProtocol, \
@@ -41,30 +39,6 @@ def udf_wrapper():
     return meta
 
 
-def create_mock_udf_context(input_data: List[Tuple[Any, ...]], mock_meta: MockMetaData) -> MockContext:
-    mock_ctx = MockContext(
-        input_groups=iter([Group(input_data)]),
-        metadata=mock_meta,
-    )
-    mock_ctx._next_group()
-    return mock_ctx
-
-
-def create_mock_exa_environment(
-        bfs_conn_name: List[str],
-        bucketfs_connections: List[Connection],
-        mock_meta: MockMetaData,
-        token_conn_name: str,
-        token_conn_obj: Connection) -> MockExaEnvironment:
-    connections_dict = {k: v for k, v in zip(bfs_conn_name, bucketfs_connections)}
-    connections_dict[token_conn_name] = token_conn_obj
-    mock_exa = MockExaEnvironment(
-        metadata=mock_meta,
-        connections=connections_dict
-    )
-    return mock_exa
-
-
 @pytest.mark.parametrize("count", list(range(1, 10)))
 @pytest.mark.parametrize("description, token_conn_name ,token_conn_obj, expected_token", [
     ('without token', '', None, False),
@@ -130,7 +104,7 @@ def test_model_downloader(description, count, token_conn_name, token_conn_obj, e
         call(url=f'file:///test{i}', user=None, pwd=None)
         for i in range(count)
     ])
-    assert mock_ctx._output_groups[0].rows == [
+    assert mock_ctx.output == [
         (
             f'{sub_directory_names[i]}/{base_model_names[i]}',
             str(mock_model_downloaders[i].upload_to_bucketfs())
diff --git a/tests/unit_tests/utils_for_udf_tests.py b/tests/unit_tests/utils_for_udf_tests.py
new file mode 100644
index 00000000..44b64500
--- /dev/null
+++ b/tests/unit_tests/utils_for_udf_tests.py
@@ -0,0 +1,29 @@
+from typing import Any, Tuple, List
+
+from exasol_udf_mock_python.mock_context import StandaloneMockContext, MockContext
+from exasol_udf_mock_python.connection import Connection
+from exasol_udf_mock_python.mock_exa_environment import MockExaEnvironment
+from exasol_udf_mock_python.mock_meta_data import MockMetaData
+
+
+def create_mock_udf_context(input_data: List[Tuple[Any, ...]], mock_meta: MockMetaData) -> StandaloneMockContext:
+    mock_ctx = StandaloneMockContext(
+        inp=input_data,
+        metadata=mock_meta,
+    )
+    return mock_ctx
+
+
+def create_mock_exa_environment(
+        bfs_conn_name: List[str],
+        bucketfs_connections: List[Connection],
+        mock_meta: MockMetaData,
+        token_conn_name: str,
+        token_conn_obj: Connection) -> MockExaEnvironment:
+    connections_dict = {k: v for k, v in zip(bfs_conn_name, bucketfs_connections)}
+    connections_dict[token_conn_name] = token_conn_obj
+    mock_exa = MockExaEnvironment(
+        metadata=mock_meta,
+        connections=connections_dict
+    )
+    return mock_exa
\ No newline at end of file