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Add safetensors to model not found error msg for default use_safetensors value #30602

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8 changes: 4 additions & 4 deletions src/transformers/modeling_utils.py
Original file line number Diff line number Diff line change
Expand Up @@ -3263,8 +3263,8 @@ def from_pretrained(
)
else:
raise EnvironmentError(
f"Error no file named {_add_variant(WEIGHTS_NAME, variant)}, {TF2_WEIGHTS_NAME},"
f" {TF_WEIGHTS_NAME + '.index'} or {FLAX_WEIGHTS_NAME} found in directory"
f"Error no file named {_add_variant(WEIGHTS_NAME, variant)}, {_add_variant(SAFE_WEIGHTS_NAME, variant)},"
f" {TF2_WEIGHTS_NAME}, {TF_WEIGHTS_NAME + '.index'} or {FLAX_WEIGHTS_NAME} found in directory"
f" {pretrained_model_name_or_path}."
)
elif os.path.isfile(os.path.join(subfolder, pretrained_model_name_or_path)):
Expand Down Expand Up @@ -3410,8 +3410,8 @@ def from_pretrained(
else:
raise EnvironmentError(
f"{pretrained_model_name_or_path} does not appear to have a file named"
f" {_add_variant(WEIGHTS_NAME, variant)}, {TF2_WEIGHTS_NAME}, {TF_WEIGHTS_NAME} or"
f" {FLAX_WEIGHTS_NAME}."
f" {_add_variant(WEIGHTS_NAME, variant)}, {_add_variant(SAFE_WEIGHTS_NAME, variant)},"
f" {TF2_WEIGHTS_NAME}, {TF_WEIGHTS_NAME} or {FLAX_WEIGHTS_NAME}."
)
except EnvironmentError:
# Raise any environment error raise by `cached_file`. It will have a helpful error message adapted
Expand Down
20 changes: 20 additions & 0 deletions tests/test_modeling_utils.py
Original file line number Diff line number Diff line change
Expand Up @@ -1001,6 +1001,26 @@ def test_use_safetensors(self):
self.assertTrue(any(f.endswith("safetensors") for f in all_downloaded_files))
self.assertFalse(any(f.endswith("bin") for f in all_downloaded_files))

# test no model file found when use_safetensors=None (default when safetensors package available)
with self.assertRaises(OSError) as missing_model_file_error:
BertModel.from_pretrained("hf-internal-testing/config-no-model")

self.assertTrue(
"does not appear to have a file named pytorch_model.bin, model.safetensors,"
in str(missing_model_file_error.exception)
)

with self.assertRaises(OSError) as missing_model_file_error:
with tempfile.TemporaryDirectory() as tmp_dir:
with open(os.path.join(tmp_dir, "config.json"), "w") as f:
f.write("{}")
f.close()
BertModel.from_pretrained(tmp_dir)

self.assertTrue(
"Error no file named pytorch_model.bin, model.safetensors" in str(missing_model_file_error.exception)
)

@require_safetensors
def test_safetensors_save_and_load(self):
model = BertModel.from_pretrained("hf-internal-testing/tiny-random-bert")
Expand Down