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

fix(docs): task guide links in model docs

docs/source/en/model_doc/data2vec.mdx

@@ -55,20 +55,20 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 - To fine-tune [`TFData2VecVisionForImageClassification`] on a custom dataset, see [this notebook](https://colab.research.google.com/github/sayakpaul/TF-2.0-Hacks/blob/master/data2vec_vision_image_classification.ipynb).
 
 **Data2VecText 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)
 
 **Data2VecAudio 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)
 
 **Data2VecVision documentation resources**
-- [Image classification](./tasks/image_classification)
-- [Semantic segmentation](./tasks/semantic_segmentation)
+- [Image classification](../tasks/image_classification)
+- [Semantic segmentation](../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/deberta-v2.mdx

@@ -60,11 +60,11 @@ contributed by [kamalkraj](https://huggingface.co/kamalkraj). The original code
 
 ## 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)
+- [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)
 
 ## DebertaV2Config
 

docs/source/en/model_doc/deberta.mdx

@@ -48,7 +48,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 - A blog post on [Supercharged Customer Service with Machine Learning](https://huggingface.co/blog/supercharge-customer-service-with-machine-learning) with DeBERTa.
 - [`DebertaForSequenceClassification`] 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).
 - [`TFDebertaForSequenceClassification`] 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).
-- [Text classification task guide](./tasks/sequence_classification)
+- [Text classification task guide](../tasks/sequence_classification)
 
 <PipelineTag pipeline="token-classification" />
 
@@ -56,21 +56,21 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 - [`TFDebertaForTokenClassification`] 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).
 - [Token classification](https://huggingface.co/course/chapter7/2?fw=pt) chapter of the 🤗 Hugging Face Course.
 - [Byte-Pair Encoding tokenization](https://huggingface.co/course/chapter6/5?fw=pt) chapter of the 🤗 Hugging Face Course.
-- [Token classification task guide](./tasks/token_classification)
+- [Token classification task guide](../tasks/token_classification)
 
 <PipelineTag pipeline="fill-mask"/>
 
 - [`DebertaForMaskedLM`] is supported by this [example script](https://github.com/huggingface/transformers/tree/main/examples/pytorch/language-modeling#robertabertdistilbert-and-masked-language-modeling) and [notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/language_modeling.ipynb).
 - [`TFDebertaForMaskedLM`] 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).
 - [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)
+- [Masked language modeling task guide](../tasks/masked_language_modeling)
 
 <PipelineTag pipeline="question-answering"/>
 
 - [`DebertaForQuestionAnswering`] is supported by this [example script](https://github.com/huggingface/transformers/tree/main/examples/pytorch/question-answering) and [notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/question_answering.ipynb).
 - [`TFDebertaForQuestionAnswering`] 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).
 - [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)
 
 ## DebertaConfig
 

docs/source/en/model_doc/deformable_detr.mdx

@@ -40,7 +40,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 <PipelineTag pipeline="object-detection"/>
 
 - Demo notebooks regarding inference + fine-tuning on a custom dataset for [`DeformableDetrForObjectDetection`] can be found [here](https://github.com/NielsRogge/Transformers-Tutorials/tree/master/Deformable-DETR).
-- See also: [Object detection task guide](./tasks/object_detection).
+- See also: [Object detection task guide](../tasks/object_detection).
 
 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/deit.mdx

@@ -78,7 +78,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 <PipelineTag pipeline="image-classification"/>
 
 - [`DeiTForImageClassification`] 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)
 
 Besides that:
 

docs/source/en/model_doc/deta.mdx

@@ -39,7 +39,7 @@ The original code can be found [here](https://github.com/jozhang97/DETA).
 A list of official Hugging Face and community (indicated by 🌎) resources to help you get started with DETA.
 
 - Demo notebooks for DETA can be found [here](https://github.com/NielsRogge/Transformers-Tutorials/tree/master/DETA).
-- See also: [Object detection task guide](./tasks/object_detection)
+- See also: [Object detection task guide](../tasks/object_detection)
 
 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/detr.mdx

@@ -157,7 +157,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 <PipelineTag pipeline="object-detection"/>
 
 - All example notebooks illustrating fine-tuning [`DetrForObjectDetection`] and [`DetrForSegmentation`] on a custom dataset an be found [here](https://github.com/NielsRogge/Transformers-Tutorials/tree/master/DETR).
-- See also: [Object detection task guide](./tasks/object_detection)
+- See also: [Object detection task guide](../tasks/object_detection)
 
 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/dinat.mdx

@@ -68,7 +68,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 <PipelineTag pipeline="image-classification"/>
 
 - [`DinatForImageClassification`] 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/distilbert.mdx

@@ -75,7 +75,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 - [`DistilBertForSequenceClassification`] 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).
 - [`TFDistilBertForSequenceClassification`] 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).
 - [`FlaxDistilBertForSequenceClassification`] 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)
+- [Text classification task guide](../tasks/sequence_classification)
 
 
 <PipelineTag pipeline="token-classification"/>
@@ -84,7 +84,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 - [`TFDistilBertForTokenClassification`] 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).
 - [`FlaxDistilBertForTokenClassification`] 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="fill-mask"/>
@@ -93,7 +93,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 - [`TFDistilBertForMaskedLM`] 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).
 - [`FlaxDistilBertForMaskedLM`] 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)
+- [Masked language modeling task guide](../tasks/masked_language_modeling)
 
 <PipelineTag pipeline="question-answering"/>
 
@@ -101,12 +101,12 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 - [`TFDistilBertForQuestionAnswering`] 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).
 - [`FlaxDistilBertForQuestionAnswering`] 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**
 - [`DistilBertForMultipleChoice`] 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).
 - [`TFDistilBertForMultipleChoice`] 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)
 
 ⚗️ Optimization
 

docs/source/en/model_doc/dpt.mdx

@@ -33,6 +33,7 @@ This model was contributed by [nielsr](https://huggingface.co/nielsr). The origi
 A list of official Hugging Face and community (indicated by 🌎) resources to help you get started with DPT.
 
 - Demo notebooks for [`DPTForDepthEstimation`] can be found [here](https://github.com/NielsRogge/Transformers-Tutorials/tree/master/DPT).
+
 - [Semantic segmentation task guide](../tasks/semantic_segmentation)
 - [Monocular depth estimation task guide](../tasks/monocular_depth_estimation)
 

docs/source/en/model_doc/efficientformer.mdx

@@ -41,7 +41,7 @@ The original code can be found [here](https://github.com/snap-research/Efficient
 
 ## Documentation resources
 
-- [Image classification task guide](./tasks/image_classification)
+- [Image classification task guide](../tasks/image_classification)
 
 ## EfficientFormerConfig
 

docs/source/en/model_doc/electra.mdx

@@ -66,12 +66,12 @@ This model was contributed by [lysandre](https://huggingface.co/lysandre). 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)
 
 ## ElectraConfig
 

docs/source/en/model_doc/ernie.mdx

@@ -49,12 +49,12 @@ and [ERNIE](https://github.com/PaddlePaddle/ERNIE/blob/repro).
 
 ## 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)
 
 ## ErnieConfig
 

docs/source/en/model_doc/ernie_m.mdx

@@ -34,10 +34,10 @@ This model was contributed by [Susnato Dhar](https://huggingface.co/susnato). Th
 
 ## 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)
+- [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)
 
 ## ErnieMConfig
 

docs/source/en/model_doc/esm.mdx

@@ -88,9 +88,9 @@ The `openfold` library is licensed under the Apache License 2.0.
 
 ## Documentation resources
 
-- [Text classification task guide](./tasks/sequence_classification)
-- [Token classification task guide](./tasks/token_classification)
-- [Masked language modeling task guide](./tasks/masked_language_modeling)
+- [Text classification task guide](../tasks/sequence_classification)
+- [Token classification task guide](../tasks/token_classification)
+- [Masked language modeling task guide](../tasks/masked_language_modeling)
 
 ## EsmConfig
 

docs/source/en/model_doc/flaubert.mdx

@@ -48,11 +48,11 @@ Tips:
 
 ## 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)
+- [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)
 
 ## FlaubertConfig
 

docs/source/en/model_doc/fnet.mdx

@@ -43,11 +43,11 @@ This model was contributed by [gchhablani](https://huggingface.co/gchhablani). T
 
 ## 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)
+- [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)
 
 ## FNetConfig
 

docs/source/en/model_doc/funnel.mdx

@@ -62,11 +62,11 @@ This model was contributed by [sgugger](https://huggingface.co/sgugger). The ori
 
 ## 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)
+- [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)
 
 
 ## FunnelConfig

docs/source/en/model_doc/git.mdx

@@ -41,7 +41,7 @@ The original code can be found [here](https://github.com/microsoft/GenerativeIma
 A list of official Hugging Face and community (indicated by 🌎) resources to help you get started with GIT.
 
 - Demo notebooks regarding inference + fine-tuning GIT on custom data can be found [here](https://github.com/NielsRogge/Transformers-Tutorials/tree/master/GIT).
-- See also: [Causal language modeling task guide](./tasks/language_modeling)
+- See also: [Causal language modeling task guide](../tasks/language_modeling)
 
 If you're interested in submitting a resource to be included here, please feel free to open a Pull Request and we will review it.
 The resource should ideally demonstrate something new instead of duplicating an existing resource.

docs/source/en/model_doc/gpt-sw3.mdx

@@ -50,9 +50,9 @@ Träd är fina för att de är färgstarka. Men ibland är det fint
 
 ## Documentation resources
 
-- [Text classification task guide](./tasks/sequence_classification)
-- [Token classification task guide](./tasks/token_classification)
-- [Causal language modeling task guide](./tasks/language_modeling)
+- [Text classification task guide](../tasks/sequence_classification)
+- [Token classification task guide](../tasks/token_classification)
+- [Causal language modeling task guide](../tasks/language_modeling)
 
 ## GPTSw3Tokenizer