fix(docs): fix task guide links in model docs (#22226)

fix(docs): task guide links in model docs

docs/source/en/model_doc/t5.mdx

@@ -341,7 +341,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 - [`TFT5ForConditionalGeneration`] 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).
 - [`FlaxT5ForConditionalGeneration`] 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)
+- [Summarization task guide](../tasks/summarization)
 
 <PipelineTag pipeline="fill-mask"/>
 
@@ -351,7 +351,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 
 - [`T5ForConditionalGeneration`] 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).
 - [`TFT5ForConditionalGeneration`] 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)
+- [Translation task guide](../tasks/translation)
 
 <PipelineTag pipeline="question-answering"/>
 

docs/source/en/model_doc/tapas.mdx

@@ -571,8 +571,8 @@ In case of a conversational set-up, then each table-question pair must be provid
 
 ## Documentation resources
 
-- [Text classification task guide](./tasks/sequence_classification)
-- [Masked language modeling task guide](./tasks/masked_language_modeling)
+- [Text classification task guide](../tasks/sequence_classification)
+- [Masked language modeling task guide](../tasks/masked_language_modeling)
 
 ## TAPAS specific outputs
 [[autodoc]] models.tapas.modeling_tapas.TableQuestionAnsweringOutput

docs/source/en/model_doc/timesformer.mdx

@@ -30,7 +30,7 @@ The original code can be found [here](https://github.com/facebookresearch/TimeSf
 
 ## Documentation resources
 
-- [Video classification task guide](./tasks/video_classification)
+- [Video classification task guide](../tasks/video_classification)
 
 ## TimesformerConfig
 

docs/source/en/model_doc/transfo-xl.mdx

@@ -60,8 +60,8 @@ TransformerXL does **not** work with *torch.nn.DataParallel* due to a bug in PyT
 
 ## Documentation resources
 
-- [Text classification task guide](./tasks/sequence_classification)
-- [Causal language modeling task guide](./tasks/language_modeling)
+- [Text classification task guide](../tasks/sequence_classification)
+- [Causal language modeling task guide](../tasks/language_modeling)
 
 ## TransfoXLConfig
 

docs/source/en/model_doc/unispeech-sat.mdx

@@ -46,8 +46,8 @@ found [here](https://github.com/microsoft/UniSpeech/tree/main/UniSpeech-SAT).
 
 ## Documentation resources
 
-- [Audio classification task guide](./tasks/audio_classification)
-- [Automatic speech recognition task guide](./tasks/asr)
+- [Audio classification task guide](../tasks/audio_classification)
+- [Automatic speech recognition task guide](../tasks/asr)
 
 ## UniSpeechSatConfig
 

docs/source/en/model_doc/unispeech.mdx

@@ -41,8 +41,8 @@ found [here](https://github.com/microsoft/UniSpeech/tree/main/UniSpeech).
 
 ## Documentation resources
 
-- [Audio classification task guide](./tasks/audio_classification)
-- [Automatic speech recognition task guide](./tasks/asr)
+- [Audio classification task guide](../tasks/audio_classification)
+- [Automatic speech recognition task guide](../tasks/asr)
 
 ## UniSpeechConfig
 

docs/source/en/model_doc/upernet.mdx

@@ -35,7 +35,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 
 - Demo notebooks for UPerNet can be found [here](https://github.com/NielsRogge/Transformers-Tutorials/tree/master/UPerNet).
 - [`UperNetForSemanticSegmentation`] is supported by this [example script](https://github.com/huggingface/transformers/tree/main/examples/pytorch/semantic-segmentation) and [notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/semantic_segmentation.ipynb).
-- See also: [Semantic segmentation task guide](./tasks/semantic_segmentation)
+- See also: [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/van.mdx

@@ -39,7 +39,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 <PipelineTag pipeline="image-classification"/>
 
 - [`VanForImageClassification`] 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)
+- 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/videomae.mdx

@@ -43,7 +43,7 @@ review it! The resource should ideally demonstrate something new instead of dupl
 **Video classification**
 - [A notebook](https://github.com/huggingface/notebooks/blob/main/examples/video_classification.ipynb) that shows how
 to fine-tune a VideoMAE model on a custom dataset.
-- [Video classification task guide](./tasks/video-classification)
+- [Video classification task guide](../tasks/video-classification)
 - [A 🤗 Space](https://huggingface.co/spaces/sayakpaul/video-classification-ucf101-subset) showing how to perform inference with a video classification model.
 
 

docs/source/en/model_doc/vit.mdx

@@ -95,7 +95,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 - [`ViTForImageClassification`] 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).
 - A blog on fine-tuning [`ViTForImageClassification`] on a custom dataset can be found [here](https://huggingface.co/blog/fine-tune-vit).
 - More demo notebooks to fine-tune [`ViTForImageClassification`] can be found [here](https://github.com/NielsRogge/Transformers-Tutorials/tree/master/VisionTransformer).
-- [Image classification task guide](./tasks/image_classification)
+- [Image classification task guide](../tasks/image_classification)
 
 Besides that:
 

docs/source/en/model_doc/vit_hybrid.mdx

@@ -44,7 +44,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 <PipelineTag pipeline="image-classification"/>
 
 - [`ViTHybridForImageClassification`] 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)
+- 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/vit_msn.mdx

@@ -53,7 +53,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 <PipelineTag pipeline="image-classification"/>
 
 - [`ViTMSNForImageClassification`] 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)
+- 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/wav2vec2-conformer.mdx

@@ -35,8 +35,8 @@ The original code can be found [here](https://github.com/pytorch/fairseq/tree/ma
 
 ## Documentation resources
 
-- [Audio classification task guide](./tasks/audio_classification)
-- [Automatic speech recognition task guide](./tasks/asr)
+- [Audio classification task guide](../tasks/audio_classification)
+- [Automatic speech recognition task guide](../tasks/asr)
 
 ## Wav2Vec2ConformerConfig
 

docs/source/en/model_doc/wav2vec2.mdx

@@ -43,7 +43,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 
 - A notebook on how to [leverage a pretrained Wav2Vec2 model for emotion classification](https://colab.research.google.com/github/m3hrdadfi/soxan/blob/main/notebooks/Emotion_recognition_in_Greek_speech_using_Wav2Vec2.ipynb). 🌎
 - [`Wav2Vec2ForCTC`] 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).
-- [Audio classification task guide](./tasks/audio_classification)
+- [Audio classification task guide](../tasks/audio_classification)
 
 <PipelineTag pipeline="automatic-speech-recognition"/>
 
@@ -52,7 +52,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 - A blog post on [finetuning XLS-R for Multi-Lingual ASR with 🤗 Transformers](https://huggingface.co/blog/fine-tune-xlsr-wav2vec2).
 - A notebook on how to [create YouTube captions from any video by transcribing audio with Wav2Vec2](https://colab.research.google.com/github/Muennighoff/ytclipcc/blob/main/wav2vec_youtube_captions.ipynb). 🌎
 - [`Wav2Vec2ForCTC`] is supported by a notebook on [how to finetune a speech recognition model in English](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/speech_recognition.ipynb), and [how to finetune a speech recognition model in any language](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/multi_lingual_speech_recognition.ipynb).
-- [Automatic speech recognition task guide](./tasks/asr)
+- [Automatic speech recognition task guide](../tasks/asr)
 
 🚀 Deploy
 

docs/source/en/model_doc/wavlm.mdx

@@ -46,8 +46,8 @@ found [here](https://github.com/microsoft/unilm/tree/master/wavlm).
 
 ## Documentation resources
 
-- [Audio classification task guide](./tasks/audio_classification)
-- [Automatic speech recognition task guide](./tasks/asr)
+- [Audio classification task guide](../tasks/audio_classification)
+- [Automatic speech recognition task guide](../tasks/asr)
 
 ## WavLMConfig
 

docs/source/en/model_doc/xglm.mdx

@@ -40,7 +40,7 @@ This model was contributed by [Suraj](https://huggingface.co/valhalla). The orig
 
 ## Documentation resources
 
-- [Causal language modeling task guide](./tasks/language_modeling)
+- [Causal language modeling task guide](../tasks/language_modeling)
 
 ## XGLMConfig
 

docs/source/en/model_doc/xlm-prophetnet.mdx

@@ -54,9 +54,9 @@ Tips:
 
 ## Documentation resources
 
-- [Causal language modeling task guide](./tasks/language_modeling)
-- [Translation task guide](./tasks/translation)
-- [Summarization task guide](./tasks/summarization)
+- [Causal language modeling task guide](../tasks/language_modeling)
+- [Translation task guide](../tasks/translation)
+- [Summarization task guide](../tasks/summarization)
 
 ## XLMProphetNetConfig
 

docs/source/en/model_doc/xlm-roberta-xl.mdx

@@ -30,12 +30,12 @@ This model was contributed by [Soonhwan-Kwon](https://github.com/Soonhwan-Kwon)
 
 ## 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)
+- [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)
 
 ## XLMRobertaXLConfig
 

docs/source/en/model_doc/xlm-roberta.mdx

@@ -64,7 +64,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 - [`TFXLMRobertaForSequenceClassification`] 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).
 - [`FlaxXLMRobertaForSequenceClassification`] 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](https://huggingface.co/docs/transformers/tasks/sequence_classification) chapter of the 🤗 Hugging Face Task Guides.
-- [Text classification task guide](./tasks/sequence_classification)
+- [Text classification task guide](../tasks/sequence_classification)
 
 <PipelineTag pipeline="token-classification"/>
 
@@ -72,13 +72,13 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 - [`TFXLMRobertaForTokenClassification`] 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).
 - [`FlaxXLMRobertaForTokenClassification`] 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)
+- [Token classification task guide](../tasks/token_classification)
 
 <PipelineTag pipeline="text-generation"/>
 
 - [`XLMRobertaForCausalLM`] is supported by this [example script](https://github.com/huggingface/transformers/tree/main/examples/pytorch/language-modeling) and [notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/language_modeling.ipynb).
 - [Causal language modeling](https://huggingface.co/docs/transformers/tasks/language_modeling) chapter of the 🤗 Hugging Face Task Guides.
-- [Causal language modeling task guide](./tasks/language_modeling)
+- [Causal language modeling task guide](../tasks/language_modeling)
 
 <PipelineTag pipeline="fill-mask"/>
 
@@ -86,7 +86,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 - [`TFXLMRobertaForMaskedLM`] 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).
 - [`FlaxXLMRobertaForMaskedLM`] 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](./tasks/masked_language_modeling)
+- [Masked language modeling](../tasks/masked_language_modeling)
 
 <PipelineTag pipeline="question-answering"/>
 
@@ -94,13 +94,13 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 - [`TFXLMRobertaForQuestionAnswering`] 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).
 - [`FlaxXLMRobertaForQuestionAnswering`] 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)
+- [Question answering task guide](../tasks/question_answering)
 
 **Multiple choice**
 
 - [`XLMRobertaForMultipleChoice`] 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).
 - [`TFXLMRobertaForMultipleChoice`] 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)
+- [Multiple choice task guide](../tasks/multiple_choice)
 
 🚀 Deploy
 

docs/source/en/model_doc/xlm.mdx

@@ -57,12 +57,12 @@ This model was contributed by [thomwolf](https://huggingface.co/thomwolf). The o
 
 ## 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)
+- [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)
 
 ## XLMConfig