Adding task guides to resources (#21704)

* added resources: links to task guides that support these models

* minor polishing

* conflict resolved

* link fix

* Update docs/source/en/model_doc/vision-encoder-decoder.mdx
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

---------
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

docs/source/en/model_doc/albert.mdx

@@ -56,6 +56,14 @@ Next sentence prediction is replaced by a sentence ordering prediction: in the i
 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).
 
+## Documentation resources
+
+- [Text classification task guide](./tasks/sequence_classification)
+- [Token classification task guide](./tasks/token_classification)
+- [Question answering task guide](./tasks/question_answering)
+- [Masked language modeling task guide](./tasks/masked_language_modeling)
+- [Multiple choice task guide](./tasks/multiple_choice)
+
 ## AlbertConfig
 
 [[autodoc]] AlbertConfig

docs/source/en/model_doc/audio-spectrogram-transformer.mdx

@@ -47,6 +47,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 
 - A notebook illustrating inference with AST for audio classification can be found [here](https://github.com/NielsRogge/Transformers-Tutorials/tree/master/AST).
 - [`ASTForAudioClassification`] is supported by this [example script](https://github.com/huggingface/transformers/tree/main/examples/pytorch/audio-classification) and [notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/audio_classification.ipynb).
+- See also: [Audio classification](./tasks/audio_classification).
 
 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.
 

docs/source/en/model_doc/bart.mdx

@@ -109,6 +109,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 - [`TFBartForConditionalGeneration`] is supported by this [example script](https://github.com/huggingface/transformers/tree/main/examples/tensorflow/summarization) and [notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/summarization-tf.ipynb).
 - [`FlaxBartForConditionalGeneration`] is supported by this [example script](https://github.com/huggingface/transformers/tree/main/examples/flax/summarization).
 - [Summarization](https://huggingface.co/course/chapter7/5?fw=pt#summarization) chapter of the 🤗 Hugging Face course.
+- [Summarization task guide](./tasks/summarization)
 
 <PipelineTag pipeline="fill-mask"/>
 
@@ -116,12 +117,19 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 - [`TFBartForConditionalGeneration`] is supported by this [example script](https://github.com/huggingface/transformers/tree/main/examples/tensorflow/language-modeling#run_mlmpy) and [notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/language_modeling-tf.ipynb).
 - [`FlaxBartForConditionalGeneration`] is supported by this [example script](https://github.com/huggingface/transformers/tree/main/examples/flax/language-modeling#masked-language-modeling) and [notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/masked_language_modeling_flax.ipynb).
 - [Masked language modeling](https://huggingface.co/course/chapter7/3?fw=pt) chapter of the 🤗 Hugging Face Course.
+- [Masked language modeling task guide](./tasks/masked_language_modeling)
 
 <PipelineTag pipeline="translation"/>
 
 - A notebook on how to [finetune mBART using Seq2SeqTrainer for Hindi to English translation](https://colab.research.google.com/github/vasudevgupta7/huggingface-tutorials/blob/main/translation_training.ipynb). 🌎
 - [`BartForConditionalGeneration`] is supported by this [example script](https://github.com/huggingface/transformers/tree/main/examples/pytorch/translation) and [notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/translation.ipynb).
 - [`TFBartForConditionalGeneration`] is supported by this [example script](https://github.com/huggingface/transformers/tree/main/examples/tensorflow/translation) and [notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/translation-tf.ipynb).
+- [Translation task guide](./tasks/translation)
+
+See also:
+- [Text classification task guide](./tasks/sequence_classification)
+- [Question answering task guide](./tasks/question_answering)
+- [Causal language modeling task guide](./tasks/language_modeling)
 
 ## BartConfig
 

docs/source/en/model_doc/beit.mdx

@@ -74,6 +74,10 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 <PipelineTag pipeline="image-classification"/>
 
 - [`BeitForImageClassification`] is supported by this [example script](https://github.com/huggingface/transformers/tree/main/examples/pytorch/image-classification) and [notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/image_classification.ipynb).
+- See also: [Image classification task guide](./tasks/image_classification)
+
+**Semantic segmentation**
+- [Semantic segmentation task guide](./tasks/semantic_segmentation)
 
 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.
 

docs/source/en/model_doc/bert.mdx

@@ -72,6 +72,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 - [`BertForSequenceClassification`] is supported by this [example script](https://github.com/huggingface/transformers/tree/main/examples/pytorch/text-classification) and [notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/text_classification.ipynb).
 - [`TFBertForSequenceClassification`] is supported by this [example script](https://github.com/huggingface/transformers/tree/main/examples/tensorflow/text-classification) and [notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/text_classification-tf.ipynb).
 - [`FlaxBertForSequenceClassification`] is supported by this [example script](https://github.com/huggingface/transformers/tree/main/examples/flax/text-classification) and [notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/text_classification_flax.ipynb).
+- [Text classification task guide](./tasks/sequence_classification)
 
 <PipelineTag pipeline="token-classification"/>
 
@@ -81,6 +82,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 - [`TFBertForTokenClassification`] is supported by this [example script](https://github.com/huggingface/transformers/tree/main/examples/tensorflow/token-classification) and [notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/token_classification-tf.ipynb).
 - [`FlaxBertForTokenClassification`] is supported by this [example script](https://github.com/huggingface/transformers/tree/main/examples/flax/token-classification).
 - [Token classification](https://huggingface.co/course/chapter7/2?fw=pt) chapter of the 🤗 Hugging Face Course.
+- [Token classification task guide](./tasks/token_classification)
 
 <PipelineTag pipeline="fill-mask"/>
 
@@ -88,6 +90,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 - [`TFBertForMaskedLM`] is supported by this [example script](https://github.com/huggingface/transformers/tree/main/examples/tensorflow/language-modeling#run_mlmpy) and [notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/language_modeling-tf.ipynb).
 - [`FlaxBertForMaskedLM`] is supported by this [example script](https://github.com/huggingface/transformers/tree/main/examples/flax/language-modeling#masked-language-modeling) and [notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/masked_language_modeling_flax.ipynb).
 - [Masked language modeling](https://huggingface.co/course/chapter7/3?fw=pt) chapter of the 🤗 Hugging Face Course.
+- [Masked language modeling task guide](./tasks/masked_language_modeling)
 
 <PipelineTag pipeline="question-answering"/>
 
@@ -95,10 +98,12 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 - [`TFBertForQuestionAnswering`] is supported by this [example script](https://github.com/huggingface/transformers/tree/main/examples/tensorflow/question-answering) and [notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/question_answering-tf.ipynb).
 - [`FlaxBertForQuestionAnswering`] is supported by this [example script](https://github.com/huggingface/transformers/tree/main/examples/flax/question-answering).
 - [Question answering](https://huggingface.co/course/chapter7/7?fw=pt) chapter of the 🤗 Hugging Face Course.
+- [Question answering task guide](./tasks/question_answering)
 
 **Multiple choice**
 - [`BertForMultipleChoice`] is supported by this [example script](https://github.com/huggingface/transformers/tree/main/examples/pytorch/multiple-choice) and [notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/multiple_choice.ipynb).
 - [`TFBertForMultipleChoice`] is supported by this [example script](https://github.com/huggingface/transformers/tree/main/examples/tensorflow/multiple-choice) and [notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/multiple_choice-tf.ipynb).
+- [Multiple choice task guide](./tasks/multiple_choice)
 
 ⚡️ **Inference**
 - A blog post on how to [Accelerate BERT inference with Hugging Face Transformers and AWS Inferentia](https://huggingface.co/blog/bert-inferentia-sagemaker).

docs/source/en/model_doc/big_bird.mdx

@@ -52,6 +52,15 @@ Tips:
 This model was contributed by [vasudevgupta](https://huggingface.co/vasudevgupta). The original code can be found
 [here](https://github.com/google-research/bigbird).
 
+## Documentation resources
+
+- [Text classification task guide](./tasks/sequence_classification)
+- [Token classification task guide](./tasks/token_classification)
+- [Question answering task guide](./tasks/question_answering)
+- [Causal language modeling task guide](./tasks/language_modeling)
+- [Masked language modeling task guide](./tasks/masked_language_modeling)
+- [Multiple choice task guide](./tasks/multiple_choice)
+
 ## BigBirdConfig
 
 [[autodoc]] BigBirdConfig

docs/source/en/model_doc/bigbird_pegasus.mdx

@@ -52,6 +52,14 @@ Tips:
 
 The original code can be found [here](https://github.com/google-research/bigbird).
 
+## Documentation resources
+
+- [Text classification task guide](./tasks/sequence_classification)
+- [Question answering task guide](./tasks/question_answering)
+- [Causal language modeling task guide](./tasks/language_modeling)
+- [Translation task guide](./tasks/translation)
+- [Summarization task guide](./tasks/summarization)
+
 ## BigBirdPegasusConfig
 
 [[autodoc]] BigBirdPegasusConfig

docs/source/en/model_doc/biogpt.mdx

@@ -29,6 +29,10 @@ Tips:
 
 This model was contributed by [kamalkraj](https://huggingface.co/kamalkraj). The original code can be found [here](https://github.com/microsoft/BioGPT).
 
+## Documentation resources
+
+- [Causal language modeling task guide](./tasks/language_modeling)
+
 ## BioGptConfig
 
 [[autodoc]] BioGptConfig

docs/source/en/model_doc/bit.mdx

@@ -37,6 +37,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 <PipelineTag pipeline="image-classification"/>
 
 - [`BitForImageClassification`] is supported by this [example script](https://github.com/huggingface/transformers/tree/main/examples/pytorch/image-classification) and [notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/image_classification.ipynb).
+- See also: [Image classification task guide](./tasks/image_classification)
 
 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.
 

docs/source/en/model_doc/blenderbot-small.mdx

@@ -42,7 +42,13 @@ Tips:
   the left.
 
 This model was contributed by [patrickvonplaten](https://huggingface.co/patrickvonplaten). The authors' code can be
-found [here](https://github.com/facebookresearch/ParlAI) .
+found [here](https://github.com/facebookresearch/ParlAI).
+
+## Documentation resources
+
+- [Causal language modeling task guide](./tasks/language_modeling)
+- [Translation task guide](./tasks/translation)
+- [Summarization task guide](./tasks/summarization)
 
 ## BlenderbotSmallConfig
 

docs/source/en/model_doc/blenderbot.mdx

@@ -66,6 +66,12 @@ Here is an example of model usage:
 ["<s> That's unfortunate. Are they trying to lose weight or are they just trying to be healthier?</s>"]
 ```
 
+## Documentation resources
+
+- [Causal language modeling task guide](./tasks/language_modeling)
+- [Translation task guide](./tasks/translation)
+- [Summarization task guide](./tasks/summarization)
+
 ## BlenderbotConfig
 
 [[autodoc]] BlenderbotConfig

docs/source/en/model_doc/bloom.mdx

@@ -27,13 +27,19 @@ Several smaller versions of the models have been trained on the same dataset. BL
 
 ## Resources
 
-
 A list of official Hugging Face and community (indicated by 🌎) resources to help you get started with BLOOM. 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="text-generation"/>
 
 - [`BloomForCausalLM`] is supported by this [causal language modeling example script](https://github.com/huggingface/transformers/tree/main/examples/pytorch/language-modeling#gpt-2gpt-and-causal-language-modeling) and [notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/language_modeling.ipynb).
 
+See also:
+- [Causal language modeling task guide](./tasks/language_modeling)
+- [Text classification task guide](./tasks/sequence_classification)
+- [Token classification task guide](./tasks/token_classification)
+- [Question answering task guide](./tasks/question_answering)
+
+
 ⚡️ Inference
 - A blog on [Optimization story: Bloom inference](https://huggingface.co/blog/bloom-inference-optimization).
 - A blog on [Incredibly Fast BLOOM Inference with DeepSpeed and Accelerate](https://huggingface.co/blog/bloom-inference-pytorch-scripts).

docs/source/en/model_doc/camembert.mdx

@@ -37,6 +37,15 @@ Tips:
 
 This model was contributed by [camembert](https://huggingface.co/camembert). The original code can be found [here](https://camembert-model.fr/).
 
+## Documentation resources
+
+- [Text classification task guide](./tasks/sequence_classification)
+- [Token classification task guide](./tasks/token_classification)
+- [Question answering task guide](./tasks/question_answering)
+- [Causal language modeling task guide](./tasks/language_modeling)
+- [Masked language modeling task guide](./tasks/masked_language_modeling)
+- [Multiple choice task guide](./tasks/multiple_choice)
+
 ## CamembertConfig
 
 [[autodoc]] CamembertConfig

docs/source/en/model_doc/canine.mdx

@@ -92,6 +92,13 @@ sequences to the same length):
 >>> sequence_output = outputs.last_hidden_state
 ```
 
+## Documentation resources
+
+- [Text classification task guide](./tasks/sequence_classification)
+- [Token classification task guide](./tasks/token_classification)
+- [Question answering task guide](./tasks/question_answering)
+- [Multiple choice task guide](./tasks/multiple_choice)
+
 ## CANINE specific outputs
 
 [[autodoc]] models.canine.modeling_canine.CanineModelOutputWithPooling

docs/source/en/model_doc/codegen.mdx

@@ -56,6 +56,10 @@ def hello_world():
 hello_world()
 ```
 
+## Documentation resources
+
+- [Causal language modeling task guide](./tasks/language_modeling)
+
 ## CodeGenConfig
 
 [[autodoc]] CodeGenConfig

docs/source/en/model_doc/conditional_detr.mdx

@@ -27,6 +27,9 @@ alt="drawing" width="600"/>
 
 This model was contributed by [DepuMeng](https://huggingface.co/DepuMeng). The original code can be found [here](https://github.com/Atten4Vis/ConditionalDETR).
 
+## Documentation resources
+
+- [Object detection task guide](./tasks/object_detection)
 
 ## ConditionalDetrConfig
 

docs/source/en/model_doc/convbert.mdx

@@ -45,6 +45,14 @@ ConvBERT training tips are similar to those of BERT.
 This model was contributed by [abhishek](https://huggingface.co/abhishek). The original implementation can be found
 here: https://github.com/yitu-opensource/ConvBert
 
+## Documentation resources
+
+- [Text classification task guide](./tasks/sequence_classification)
+- [Token classification task guide](./tasks/token_classification)
+- [Question answering task guide](./tasks/question_answering)
+- [Masked language modeling task guide](./tasks/masked_language_modeling)
+- [Multiple choice task guide](./tasks/multiple_choice)
+
 ## ConvBertConfig
 
 [[autodoc]] ConvBertConfig

docs/source/en/model_doc/convnext.mdx

@@ -47,6 +47,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 <PipelineTag pipeline="image-classification"/>
 
 - [`ConvNextForImageClassification`] is supported by this [example script](https://github.com/huggingface/transformers/tree/main/examples/pytorch/image-classification) and [notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/image_classification.ipynb).
+- See also: [Image classification task guide](./tasks/image_classification)
 
 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.
 

docs/source/en/model_doc/ctrl.mdx

@@ -55,6 +55,10 @@ Tips:
 This model was contributed by [keskarnitishr](https://huggingface.co/keskarnitishr). The original code can be found
 [here](https://github.com/salesforce/ctrl).
 
+## Documentation resources
+
+- [Text classification task guide](./tasks/sequence_classification)
+- [Causal language modeling task guide](./tasks/language_modeling)
 
 ## CTRLConfig
 

docs/source/en/model_doc/cvt.mdx

@@ -45,6 +45,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 <PipelineTag pipeline="image-classification"/>
 
 - [`CvtForImageClassification`] is supported by this [example script](https://github.com/huggingface/transformers/tree/main/examples/pytorch/image-classification) and [notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/image_classification.ipynb).
+- See also: [Image classification task guide](./tasks/image_classification)
 
 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.