Added resources on albert model

docs/source/en/model_doc/albert.mdx

@@ -23,14 +23,14 @@ speed of BERT:
 
 The abstract from the paper is the following:
 
-*Increasing model size when pretraining natural language representations often results in improved performance on
+_Increasing model size when pretraining natural language representations often results in improved performance on
 downstream tasks. However, at some point further model increases become harder due to GPU/TPU memory limitations,
 longer training times, and unexpected model degradation. To address these problems, we present two parameter-reduction
 techniques to lower memory consumption and increase the training speed of BERT. Comprehensive empirical evidence shows
 that our proposed methods lead to models that scale much better compared to the original BERT. We also use a
 self-supervised loss that focuses on modeling inter-sentence coherence, and show it consistently helps downstream tasks
 with multi-sentence inputs. As a result, our best model establishes new state-of-the-art results on the GLUE, RACE, and
-SQuAD benchmarks while having fewer parameters compared to BERT-large.*
+SQuAD benchmarks while having fewer parameters compared to BERT-large._
 
 Tips:
 
@@ -43,17 +43,60 @@ Tips:
 This model was contributed by [lysandre](https://huggingface.co/lysandre). This model jax version was contributed by
 [kamalkraj](https://huggingface.co/kamalkraj). The original code can be found [here](https://github.com/google-research/ALBERT).
 
+## Resources
+
+A list of official Hugging Face and community (indicated by 🌎) resources to help you get started with ALBERT. If you're interested in submitting a resource to be included here, please feel free to open a Pull Request and we'll review it! The resource should ideally demonstrate something new instead of duplicating an existing resource.
+
+<PipelineTag pipeline="introduce" />
+- A blog post on [Getting Started with ALBERT](https://huggingface.co/albert-base-v2).
+- A blog post on [Albert-base-v2](https://huggingface.co/albert-base-v2). - A blog
+post on [albert-xlarge-v2](https://huggingface.co/albert-xlarge-v2). - A blog post
+on [Chinese Albert](https://huggingface.co/uer/albert-base-chinese-cluecorpussmall).
+- A blog post on [Albert-tiny](https://huggingface.co/clue/albert_chinese_tiny).
+- An article about [ALBERT: A Lite BERT for Self-supervised Learning of Language
+Representations](https://arxiv.org/abs/1909.11942)
+<PipelineTag pipeline="language-modeling_albert" />- An example code on
+[language-modeling](https://github.com/huggingface/transformers/tree/main/examples/pytorch/language-modeling)
+that supports ALBERT model.
+
+<PipelineTag pipeline="text-classification" />- A notebook on how to [Fine-tune
+ALBERT for sentence-pair
+classification](https://github.com/NadirEM/nlp-notebooks/blob/master/Fine_tune_ALBERT_sentence_pair_classification.ipynb).
+- A Transformers ALBERT document on
+[AlbertForSequenceClassification](https://huggingface.co/docs/transformers/v4.24.0/en/model_doc/albert#transformers.AlbertForSequenceClassification)
+- A text-classification example code on
+[Pytorch](https://github.com/huggingface/transformers/tree/main/examples/pytorch/text-classification)
+that supports ALBERT model. - A text-classification example code on
+[Flax](https://github.com/huggingface/transformers/tree/main/examples/flax/text-classification)
+that supports ALBERT model. - A text-classification example code on
+[Tensorflow](https://github.com/huggingface/transformers/tree/main/examples/tensorflow/text-classification).
+
+<PipelineTag pipeline="text-recognition" />
+- A notebook on [Finetune T5 for Named Entity Recognition](https://github.com/ToluClassics/Notebooks/blob/main/T5_Ner_Finetuning.ipynb)
+<PipelineTag pipeline="token-classification" />- A course material on
+[EncoderModel](https://huggingface.co/course/chapter1/5). - A course material
+on[Creating your own dataset](https://huggingface.co/course/chapter5/5). - A
+Transformers ALBERT document on
+[AlbertForTokenClassification](https://huggingface.co/docs/transformers/v4.24.0/en/model_doc/albert#transformers.AlbertForTokenClassification).
+
+<PipelineTag pipeline="QuestionAnswering" />- A Tensorflow example code on
+[Question-Answering](https://github.com/huggingface/transformers/tree/main/examples/tensorflow/question-answering)
+that supports ALBERT model. - A Flax example code on
+[Question-Answering](https://github.com/huggingface/transformers/tree/main/examples/flax/question-answering)
+- A PyTorch example code on
+[Question-Answering](https://github.com/huggingface/transformers/tree/main/examples/pytorch/question-answering)
+
+<PipelineTag pipeline="Research" />- A research project
+[bert-loses-patience](https://github.com/huggingface/transformers/tree/main/examples/research_projects/bert-loses-patience)
+that uses the ALBERT pretrained model.
+
 ## AlbertConfig
 
 [[autodoc]] AlbertConfig
 
 ## AlbertTokenizer
 
-[[autodoc]] AlbertTokenizer
-    - build_inputs_with_special_tokens
-    - get_special_tokens_mask
-    - create_token_type_ids_from_sequences
-    - save_vocabulary
+[[autodoc]] AlbertTokenizer - build_inputs_with_special_tokens - get_special_tokens_mask - create_token_type_ids_from_sequences - save_vocabulary
 
 ## AlbertTokenizerFast
 
@@ -67,104 +110,84 @@ This model was contributed by [lysandre](https://huggingface.co/lysandre). This
 
 ## AlbertModel
 
-[[autodoc]] AlbertModel
-    - forward
+[[autodoc]] AlbertModel - forward
 
 ## AlbertForPreTraining
 
-[[autodoc]] AlbertForPreTraining
-    - forward
+[[autodoc]] AlbertForPreTraining - forward
 
 ## AlbertForMaskedLM
 
-[[autodoc]] AlbertForMaskedLM
-    - forward
+[[autodoc]] AlbertForMaskedLM - forward
 
 ## AlbertForSequenceClassification
 
-[[autodoc]] AlbertForSequenceClassification
-    - forward
+[[autodoc]] AlbertForSequenceClassification - forward
 
 ## AlbertForMultipleChoice
 
 [[autodoc]] AlbertForMultipleChoice
 
 ## AlbertForTokenClassification
 
-[[autodoc]] AlbertForTokenClassification
-    - forward
+[[autodoc]] AlbertForTokenClassification - forward
 
 ## AlbertForQuestionAnswering
 
-[[autodoc]] AlbertForQuestionAnswering
-    - forward
+[[autodoc]] AlbertForQuestionAnswering - forward
 
 ## TFAlbertModel
 
-[[autodoc]] TFAlbertModel
-    - call
+[[autodoc]] TFAlbertModel - call
 
 ## TFAlbertForPreTraining
 
-[[autodoc]] TFAlbertForPreTraining
-    - call
+[[autodoc]] TFAlbertForPreTraining - call
 
 ## TFAlbertForMaskedLM
 
-[[autodoc]] TFAlbertForMaskedLM
-    - call
+[[autodoc]] TFAlbertForMaskedLM - call
 
 ## TFAlbertForSequenceClassification
 
-[[autodoc]] TFAlbertForSequenceClassification
-    - call
+[[autodoc]] TFAlbertForSequenceClassification - call
 
 ## TFAlbertForMultipleChoice
 
-[[autodoc]] TFAlbertForMultipleChoice
-    - call
+[[autodoc]] TFAlbertForMultipleChoice - call
 
 ## TFAlbertForTokenClassification
 
-[[autodoc]] TFAlbertForTokenClassification
-    - call
+[[autodoc]] TFAlbertForTokenClassification - call
 
 ## TFAlbertForQuestionAnswering
 
-[[autodoc]] TFAlbertForQuestionAnswering
-    - call
+[[autodoc]] TFAlbertForQuestionAnswering - call
 
 ## FlaxAlbertModel
 
-[[autodoc]] FlaxAlbertModel
-    - __call__
+[[autodoc]] FlaxAlbertModel - **call**
 
 ## FlaxAlbertForPreTraining
 
-[[autodoc]] FlaxAlbertForPreTraining
-    - __call__
+[[autodoc]] FlaxAlbertForPreTraining - **call**
 
 ## FlaxAlbertForMaskedLM
 
-[[autodoc]] FlaxAlbertForMaskedLM
-    - __call__
+[[autodoc]] FlaxAlbertForMaskedLM - **call**
 
 ## FlaxAlbertForSequenceClassification
 
-[[autodoc]] FlaxAlbertForSequenceClassification
-    - __call__
+[[autodoc]] FlaxAlbertForSequenceClassification - **call**
 
 ## FlaxAlbertForMultipleChoice
 
-[[autodoc]] FlaxAlbertForMultipleChoice
-    - __call__
+[[autodoc]] FlaxAlbertForMultipleChoice - **call**
 
 ## FlaxAlbertForTokenClassification
 
-[[autodoc]] FlaxAlbertForTokenClassification
-    - __call__
+[[autodoc]] FlaxAlbertForTokenClassification - **call**
 
 ## FlaxAlbertForQuestionAnswering
 
-[[autodoc]] FlaxAlbertForQuestionAnswering
-    - __call__
+[[autodoc]] FlaxAlbertForQuestionAnswering - **call**