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

fix(docs): task guide links in model docs

docs/source/en/model_doc/albert.mdx

@@ -58,11 +58,11 @@ This model was contributed by [lysandre](https://huggingface.co/lysandre). This
 
 ## 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)
 
 ## AlbertConfig
 

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

@@ -47,7 +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).
+- 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

@@ -109,7 +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)
+- [Summarization task guide](../tasks/summarization)
 
 <PipelineTag pipeline="fill-mask"/>
 
@@ -117,19 +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)
+- [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)
+- [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)
+- [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

@@ -74,10 +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)
+- See also: [Image classification task guide](../tasks/image_classification)
 
 **Semantic segmentation**
-- [Semantic segmentation task guide](./tasks/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

@@ -72,7 +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)
+- [Text classification task guide](../tasks/sequence_classification)
 
 <PipelineTag pipeline="token-classification"/>
 
@@ -82,7 +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)
+- [Token classification task guide](../tasks/token_classification)
 
 <PipelineTag pipeline="fill-mask"/>
 
@@ -90,7 +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)
+- [Masked language modeling task guide](../tasks/masked_language_modeling)
 
 <PipelineTag pipeline="question-answering"/>
 
@@ -98,12 +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)
+- [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)
+- [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

@@ -54,12 +54,12 @@ This model was contributed by [vasudevgupta](https://huggingface.co/vasudevgupta
 
 ## 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)
 
 ## BigBirdConfig
 

docs/source/en/model_doc/bigbird_pegasus.mdx

@@ -54,11 +54,11 @@ 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)
+- [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
 

docs/source/en/model_doc/biogpt.mdx

@@ -31,7 +31,7 @@ This model was contributed by [kamalkraj](https://huggingface.co/kamalkraj). The
 
 ## Documentation resources
 
-- [Causal language modeling task guide](./tasks/language_modeling)
+- [Causal language modeling task guide](../tasks/language_modeling)
 
 ## BioGptConfig
 

docs/source/en/model_doc/bit.mdx

@@ -37,7 +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)
+- 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

@@ -46,9 +46,9 @@ 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)
+- [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

@@ -68,9 +68,9 @@ Here is an example of model usage:
 
 ## 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)
 
 ## BlenderbotConfig
 

docs/source/en/model_doc/bloom.mdx

@@ -34,10 +34,10 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 - [`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)
+- [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

docs/source/en/model_doc/camembert.mdx

@@ -39,12 +39,12 @@ This model was contributed by [camembert](https://huggingface.co/camembert). The
 
 ## 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)
 
 ## CamembertConfig
 

docs/source/en/model_doc/canine.mdx

@@ -94,10 +94,10 @@ sequences to the same length):
 
 ## 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)
 
 ## CANINE specific outputs
 

docs/source/en/model_doc/codegen.mdx

@@ -58,7 +58,7 @@ hello_world()
 
 ## Documentation resources
 
-- [Causal language modeling task guide](./tasks/language_modeling)
+- [Causal language modeling task guide](../tasks/language_modeling)
 
 ## CodeGenConfig
 

docs/source/en/model_doc/conditional_detr.mdx

@@ -29,7 +29,7 @@ This model was contributed by [DepuMeng](https://huggingface.co/DepuMeng). The o
 
 ## Documentation resources
 
-- [Object detection task guide](./tasks/object_detection)
+- [Object detection task guide](../tasks/object_detection)
 
 ## ConditionalDetrConfig
 

docs/source/en/model_doc/convbert.mdx

@@ -47,11 +47,11 @@ 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)
+- [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
 

docs/source/en/model_doc/convnext.mdx

@@ -47,7 +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)
+- 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

@@ -57,8 +57,8 @@ This model was contributed by [keskarnitishr](https://huggingface.co/keskarnitis
 
 ## 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)
 
 ## CTRLConfig
 

docs/source/en/model_doc/cvt.mdx

@@ -45,7 +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)
+- 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/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
 

docs/source/en/model_doc/gpt2.mdx

@@ -73,9 +73,9 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 - [`GPT2LMHeadModel`] 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), [text generation example script](https://github.com/huggingface/transformers/tree/main/examples/pytorch/text-generation), and [notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/language_modeling.ipynb).
 - [`TFGPT2LMHeadModel`] is supported by this [causal language modeling example script](https://github.com/huggingface/transformers/tree/main/examples/tensorflow/language-modeling#run_clmpy) and [notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/language_modeling-tf.ipynb).
 - [`FlaxGPT2LMHeadModel`] is supported by this [causal language modeling example script](https://github.com/huggingface/transformers/tree/main/examples/flax/language-modeling#causal-language-modeling) and [notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/causal_language_modeling_flax.ipynb).
-- [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)
 
 ## GPT2Config
 

docs/source/en/model_doc/gpt_neo.mdx

@@ -52,8 +52,8 @@ The `generate()` method can be used to generate text using GPT Neo model.
 
 ## 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)
 
 ## GPTNeoConfig
 

docs/source/en/model_doc/gpt_neox.mdx

@@ -59,7 +59,7 @@ The `generate()` method can be used to generate text using GPT Neo model.
 
 ## Documentation resources
 
-- [Causal language modeling task guide](./tasks/language_modeling)
+- [Causal language modeling task guide](../tasks/language_modeling)
 
 ## GPTNeoXConfig
 

docs/source/en/model_doc/gpt_neox_japanese.mdx

@@ -49,7 +49,7 @@ The `generate()` method can be used to generate text using GPT NeoX Japanese mod
 
 ## Documentation resources
 
-- [Causal language modeling task guide](./tasks/language_modeling)
+- [Causal language modeling task guide](../tasks/language_modeling)
 
 ## GPTNeoXJapaneseConfig
 

docs/source/en/model_doc/gptj.mdx

@@ -125,9 +125,9 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 - [`FlaxGPTJForCausalLM`] is supported by this [causal language modeling example script](https://github.com/huggingface/transformers/tree/main/examples/flax/language-modeling#causal-language-modeling) and [notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/causal_language_modeling_flax.ipynb).
 
 **Documentation resources**
-- [Text classification task guide](./tasks/sequence_classification)
-- [Question answering task guide](./tasks/question_answering)
-- [Causal language modeling task guide](./tasks/language_modeling)
+- [Text classification task guide](../tasks/sequence_classification)
+- [Question answering task guide](../tasks/question_answering)
+- [Causal language modeling task guide](../tasks/language_modeling)
 
 ## GPTJConfig
 

docs/source/en/model_doc/hubert.mdx

@@ -42,8 +42,8 @@ This model was contributed by [patrickvonplaten](https://huggingface.co/patrickv
 
 ## 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)
 
 ## HubertConfig
 

docs/source/en/model_doc/ibert.mdx

@@ -38,11 +38,11 @@ This model was contributed by [kssteven](https://huggingface.co/kssteven). 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)
-- [Masked language modeling task guide](./tasks/masked_language_modeling)
-- [Multiple choice task guide](./tasks/masked_language_modeling)
+- [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/masked_language_modeling)
 
 ## IBertConfig
 

docs/source/en/model_doc/imagegpt.mdx

@@ -77,7 +77,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 
 - Demo notebooks for ImageGPT can be found [here](https://github.com/NielsRogge/Transformers-Tutorials/tree/master/ImageGPT).
 - [`ImageGPTForImageClassification`] 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/layoutlm.mdx

@@ -88,20 +88,20 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 
 - A notebook on how to [fine-tune LayoutLM on the FUNSD dataset with image embeddings](https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/LayoutLM/Add_image_embeddings_to_LayoutLM.ipynb).
 
-- See also: [Document question answering task guide](./tasks/document_question_answering)
+- See also: [Document question answering task guide](../tasks/document_question_answering)
 
 <PipelineTag pipeline="text-classification" />
 
 - A notebook on how to [fine-tune LayoutLM for sequence classification on the RVL-CDIP dataset](https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/LayoutLM/Fine_tuning_LayoutLMForSequenceClassification_on_RVL_CDIP.ipynb).
-- [Text classification task guide](./tasks/sequence_classification)
+- [Text classification task guide](../tasks/sequence_classification)
 
 <PipelineTag pipeline="token-classification" />
 
 - A notebook on how to [ fine-tune LayoutLM for token classification on the FUNSD dataset](https://github.com/NielsRogge/Transformers-Tutorials/blob/master/LayoutLM/Fine_tuning_LayoutLMForTokenClassification_on_FUNSD.ipynb).
-- [Token classification task guide](./tasks/token_classification)
+- [Token classification task guide](../tasks/token_classification)
 
 **Other resources**
-- [Masked language modeling task guide](./tasks/masked_language_modeling)
+- [Masked language modeling task guide](../tasks/masked_language_modeling)
 
 🚀 Deploy
 

docs/source/en/model_doc/layoutlmv2.mdx

@@ -268,10 +268,10 @@ print(encoding.keys())
 
 ## Documentation resources
 
-- [Document question answering task guide](./tasks/document_question_answering)
-- [Text classification task guide](./tasks/sequence_classification)
-- [Token classification task guide](./tasks/token_classification)
-- [Question answering task guide](./tasks/question_answering)
+- [Document question answering task guide](../tasks/document_question_answering)
+- [Text classification task guide](../tasks/sequence_classification)
+- [Token classification task guide](../tasks/token_classification)
+- [Question answering task guide](../tasks/question_answering)
 
 ## LayoutLMv2Config
 

docs/source/en/model_doc/layoutlmv3.mdx

@@ -52,22 +52,22 @@ LayoutLMv3 is nearly identical to LayoutLMv2, so we've also included LayoutLMv2
 <PipelineTag pipeline="text-classification"/>
 
 - [`LayoutLMv2ForSequenceClassification`] is supported by this [notebook](https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/LayoutLMv2/RVL-CDIP/Fine_tuning_LayoutLMv2ForSequenceClassification_on_RVL_CDIP.ipynb).
-- [Text classification task guide](./tasks/sequence_classification)
+- [Text classification task guide](../tasks/sequence_classification)
 
 <PipelineTag pipeline="token-classification"/>
 
 - [`LayoutLMv3ForTokenClassification`] is supported by this [example script](https://github.com/huggingface/transformers/tree/main/examples/research_projects/layoutlmv3) and [notebook](https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/LayoutLMv3/Fine_tune_LayoutLMv3_on_FUNSD_(HuggingFace_Trainer).ipynb).
 - A [notebook](https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/LayoutLMv2/FUNSD/Inference_with_LayoutLMv2ForTokenClassification.ipynb) for how to perform inference with [`LayoutLMv2ForTokenClassification`] and a [notebook](https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/LayoutLMv2/FUNSD/True_inference_with_LayoutLMv2ForTokenClassification_%2B_Gradio_demo.ipynb) for how to perform inference when no labels are available with [`LayoutLMv2ForTokenClassification`].
 - A [notebook](https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/LayoutLMv2/FUNSD/Fine_tuning_LayoutLMv2ForTokenClassification_on_FUNSD_using_HuggingFace_Trainer.ipynb) for how to finetune [`LayoutLMv2ForTokenClassification`] with the 🤗 Trainer.
-- [Token classification task guide](./tasks/token_classification)
+- [Token classification task guide](../tasks/token_classification)
 
 <PipelineTag pipeline="question-answering"/>
 
 - [`LayoutLMv2ForQuestionAnswering`] is supported by this [notebook](https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/LayoutLMv2/DocVQA/Fine_tuning_LayoutLMv2ForQuestionAnswering_on_DocVQA.ipynb).
-- [Question answering task guide](./tasks/question_answering)
+- [Question answering task guide](../tasks/question_answering)
 
 **Document question answering**
-- [Document question answering task guide](./tasks/document_question_answering)
+- [Document question answering task guide](../tasks/document_question_answering)
 
 ## LayoutLMv3Config
 

docs/source/en/model_doc/led.mdx

@@ -57,10 +57,10 @@ This model was contributed by [patrickvonplaten](https://huggingface.co/patrickv
 
 ## Documentation resources
 
-- [Text classification task guide](./tasks/sequence_classification)
-- [Question answering task guide](./tasks/question_answering)
-- [Translation task guide](./tasks/translation)
-- [Summarization task guide](./tasks/summarization)
+- [Text classification task guide](../tasks/sequence_classification)
+- [Question answering task guide](../tasks/question_answering)
+- [Translation task guide](../tasks/translation)
+- [Summarization task guide](../tasks/summarization)
 
 ## LEDConfig
 

docs/source/en/model_doc/levit.mdx

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

@@ -53,9 +53,9 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 - Demo notebooks for LiLT can be found [here](https://github.com/NielsRogge/Transformers-Tutorials/tree/master/LiLT).
 
 **Documentation resources**
-- [Text classification task guide](./tasks/sequence_classification)
-- [Token classification task guide](./tasks/token_classification)
-- [Question answering task guide](./tasks/question_answering)
+- [Text classification task guide](../tasks/sequence_classification)
+- [Token classification task guide](../tasks/token_classification)
+- [Question answering task guide](../tasks/question_answering)
 
 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/longformer.mdx

@@ -91,11 +91,11 @@ loss = model(input_ids, labels=input_ids, masked_lm_labels=mlm_labels)[0]
 
 ## 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)
 
 ## LongformerConfig
 

docs/source/en/model_doc/longt5.mdx

@@ -88,8 +88,8 @@ The original code can be found [here](https://github.com/google-research/longt5)
 
 ## Documentation resources
 
-- [Translation task guide](./tasks/translation)
-- [Summarization task guide](./tasks/summarization)
+- [Translation task guide](../tasks/translation)
+- [Summarization task guide](../tasks/summarization)
 
 ## LongT5Config
 

docs/source/en/model_doc/luke.mdx

@@ -119,11 +119,11 @@ This model was contributed by [ikuyamada](https://huggingface.co/ikuyamada) and
 
 ## 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)
 
 ## LukeConfig
 

docs/source/en/model_doc/lxmert.mdx

@@ -53,7 +53,7 @@ This model was contributed by [eltoto1219](https://huggingface.co/eltoto1219). T
 
 ## Documentation resources
 
-- [Question answering task guide](./tasks/question_answering)
+- [Question answering task guide](../tasks/question_answering)
 
 ## LxmertConfig
 

docs/source/en/model_doc/m2m_100.mdx

@@ -93,8 +93,8 @@ loss = model(**model_inputs).loss  # forward pass
 
 ## Documentation resources
 
-- [Translation task guide](./tasks/translation)
-- [Summarization task guide](./tasks/summarization)
+- [Translation task guide](../tasks/translation)
+- [Summarization task guide](../tasks/summarization)
 
 ## M2M100Config
 

docs/source/en/model_doc/marian.mdx

@@ -163,9 +163,9 @@ Example of translating english to many romance languages, using old-style 2 char
 
 ## Documentation resources
 
-- [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)
+- [Causal language modeling task guide](../tasks/language_modeling)
 
 ## MarianConfig
 

docs/source/en/model_doc/markuplm.mdx

@@ -195,9 +195,9 @@ dict_keys(['input_ids', 'token_type_ids', 'attention_mask', 'xpath_tags_seq', 'x
 
 ## Documentation resources
 
-- [Text classification task guide](./tasks/sequence_classification)
-- [Token classification task guide](./tasks/token_classification)
-- [Question answering task guide](./tasks/question_answering)
+- [Text classification task guide](../tasks/sequence_classification)
+- [Token classification task guide](../tasks/token_classification)
+- [Question answering task guide](../tasks/question_answering)
 
 ## MarkupLMConfig
 

docs/source/en/model_doc/mbart.mdx

@@ -154,12 +154,12 @@ tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)
 
 ## Documentation resources
 
-- [Text classification task guide](./tasks/sequence_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)
-- [Translation task guide](./tasks/translation)
-- [Summarization task guide](./tasks/summarization)
+- [Text classification task guide](../tasks/sequence_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)
+- [Translation task guide](../tasks/translation)
+- [Summarization task guide](../tasks/summarization)
 
 ## MBartConfig
 

docs/source/en/model_doc/mctct.mdx

@@ -33,7 +33,7 @@ This model was contributed by [cwkeam](https://huggingface.co/cwkeam). The origi
 
 ## Documentation resources
 
-- [Automatic speech recognition task guide](./tasks/asr)
+- [Automatic speech recognition task guide](../tasks/asr)
 
 Tips:
 

docs/source/en/model_doc/megatron-bert.mdx

@@ -80,12 +80,12 @@ Megatron Language models. In particular, it contains a hybrid model parallel app
 
 ## 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)
 
 ## MegatronBertConfig
 

docs/source/en/model_doc/mobilebert.mdx

@@ -45,11 +45,11 @@ This model was contributed by [vshampor](https://huggingface.co/vshampor). 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)
-- [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)
 
 ## MobileBertConfig
 

docs/source/en/model_doc/mobilenet_v1.mdx

@@ -51,7 +51,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 <PipelineTag pipeline="image-classification"/>
 
 - [`MobileNetV1ForImageClassification`] 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/mobilenet_v2.mdx

@@ -55,10 +55,10 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 <PipelineTag pipeline="image-classification"/>
 
 - [`MobileNetV2ForImageClassification`] 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)
 
 **Semantic segmentation**
-- [Semantic segmentation task guide](./tasks/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/mobilevit.mdx

@@ -64,10 +64,10 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 <PipelineTag pipeline="image-classification"/>
 
 - [`MobileViTForImageClassification`] 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)
 
 **Semantic segmentation**
-- [Semantic segmentation task guide](./tasks/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/mpnet.mdx

@@ -42,11 +42,11 @@ The original code can be found [here](https://github.com/microsoft/MPNet).
 
 ## 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)
 
 ## MPNetConfig
 

docs/source/en/model_doc/mt5.mdx

@@ -58,8 +58,8 @@ found [here](https://github.com/google-research/multilingual-t5).
 
 ## Documentation resources
 
-- [Translation task guide](./tasks/translation)
-- [Summarization task guide](./tasks/summarization)
+- [Translation task guide](../tasks/translation)
+- [Summarization task guide](../tasks/summarization)
 
 ## MT5Config
 

docs/source/en/model_doc/mvp.mdx

@@ -102,12 +102,12 @@ For lightweight tuning, *i.e.*, fixing the model and only tuning prompts, you ca
 
 ## Documentation resources
 
-- [Text classification task guide](./tasks/sequence_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)
-- [Translation task guide](./tasks/translation)
-- [Summarization task guide](./tasks/summarization)
+- [Text classification task guide](../tasks/sequence_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)
+- [Translation task guide](../tasks/translation)
+- [Summarization task guide](../tasks/summarization)
 
 ## MvpConfig
 

docs/source/en/model_doc/nat.mdx

@@ -63,7 +63,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 <PipelineTag pipeline="image-classification"/>
 
 - [`NatForImageClassification`] 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/nezha.mdx

@@ -33,11 +33,11 @@ This model was contributed by [sijunhe](https://huggingface.co/sijunhe). 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)
 
 ## NezhaConfig
 

docs/source/en/model_doc/nllb.mdx

@@ -90,8 +90,8 @@ UN-Chef sagt, es gibt keine militärische Lösung in Syrien
 
 ## Documentation resources
 
-- [Translation task guide](./tasks/translation)
-- [Summarization task guide](./tasks/summarization)
+- [Translation task guide](../tasks/translation)
+- [Summarization task guide](../tasks/summarization)
 
 ## NllbTokenizer
 

docs/source/en/model_doc/nystromformer.mdx

@@ -35,11 +35,11 @@ This model was contributed by [novice03](https://huggingface.co/novice03). 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)
-- [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)
 
 ## NystromformerConfig
 

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

@@ -73,7 +73,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 <PipelineTag pipeline="text-classification"/>
 
 - A blog post on [outperforming OpenAI GPT-3 with SetFit for text-classification](https://www.philschmid.de/getting-started-setfit).
-- See also: [Text classification task guide](./tasks/sequence_classification)
+- See also: [Text classification task guide](../tasks/sequence_classification)
 
 <PipelineTag pipeline="text-generation"/>
 
@@ -87,7 +87,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 - [Causal language modeling](https://huggingface.co/course/en/chapter7/6?fw=pt#training-a-causal-language-model-from-scratch) chapter of the 🤗 Hugging Face Course.
 - [`OpenAIGPTLMHeadModel`] 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), [text generation example script](https://github.com/huggingface/transformers/blob/main/examples/pytorch/text-generation/run_generation.py) and [notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/language_modeling.ipynb).
 - [`TFOpenAIGPTLMHeadModel`] is supported by this [causal language modeling example script](https://github.com/huggingface/transformers/tree/main/examples/tensorflow/language-modeling#run_clmpy) and [notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/language_modeling-tf.ipynb).
-- See also: [Causal language modeling task guide](./tasks/language_modeling)
+- See also: [Causal language modeling task guide](../tasks/language_modeling)
 
 <PipelineTag pipeline="token-classification"/>
 

docs/source/en/model_doc/pegasus.mdx

@@ -104,9 +104,9 @@ All the [checkpoints](https://huggingface.co/models?search=pegasus) are fine-tun
 
 ## 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)
 
 ## PegasusConfig
 

docs/source/en/model_doc/pegasus_x.mdx

@@ -30,8 +30,8 @@ This model was contributed by [zphang](<https://huggingface.co/zphang). The orig
 
 ## Documentation resources
 
-- [Translation task guide](./tasks/translation)
-- [Summarization task guide](./tasks/summarization)
+- [Translation task guide](../tasks/translation)
+- [Summarization task guide](../tasks/summarization)
 
 ## PegasusXConfig
 

docs/source/en/model_doc/perceiver.mdx

@@ -92,9 +92,9 @@ audio classification, video classification, etc.
 
 ## Documentation resources
 
-- [Text classification task guide](./tasks/sequence_classification)
-- [Masked language modeling task guide](./tasks/masked_language_modeling)
-- [Image classification task guide](./tasks/image_classification)
+- [Text classification task guide](../tasks/sequence_classification)
+- [Masked language modeling task guide](../tasks/masked_language_modeling)
+- [Image classification task guide](../tasks/image_classification)
 
 ## Perceiver specific outputs
 

docs/source/en/model_doc/plbart.mdx

@@ -80,10 +80,10 @@ it's passed with the `text_target` keyword argument.
 
 ## Documentation resources
 
-- [Text classification task guide](./tasks/sequence_classification)
-- [Causal language modeling task guide](./tasks/language_modeling)
-- [Translation task guide](./tasks/translation)
-- [Summarization task guide](./tasks/summarization)
+- [Text classification task guide](../tasks/sequence_classification)
+- [Causal language modeling task guide](../tasks/language_modeling)
+- [Translation task guide](../tasks/translation)
+- [Summarization task guide](../tasks/summarization)
 
 ## PLBartConfig
 

docs/source/en/model_doc/poolformer.mdx

@@ -48,7 +48,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 <PipelineTag pipeline="image-classification"/>
 
 - [`PoolFormerForImageClassification`] 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/prophetnet.mdx

@@ -55,9 +55,9 @@ The Authors' code can be found [here](https://github.com/microsoft/ProphetNet).
 
 ## 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)
 
 ## ProphetNetConfig
 

docs/source/en/model_doc/qdqbert.mdx

@@ -116,12 +116,12 @@ the instructions in [torch.onnx](https://pytorch.org/docs/stable/onnx.html). Exa
 
 ## 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)
 
 ## QDQBertConfig
 

docs/source/en/model_doc/reformer.mdx

@@ -153,10 +153,10 @@ loss = model(input_ids, labels=input_ids)[0]
 
 ## Documentation resources
 
-- [Text classification task guide](./tasks/sequence_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)
+- [Text classification task guide](../tasks/sequence_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)
 
 ## ReformerConfig
 

docs/source/en/model_doc/regnet.mdx

@@ -38,7 +38,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 <PipelineTag pipeline="image-classification"/>
 
 - [`RegNetForImageClassification`] 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/rembert.mdx

@@ -39,12 +39,12 @@ also similar to the Albert one rather than the BERT one.
 
 ## 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)
 
 ## RemBertConfig
 

docs/source/en/model_doc/resnet.mdx

@@ -40,7 +40,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 <PipelineTag pipeline="image-classification"/>
 
 - [`ResNetForImageClassification`] 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/roberta-prelayernorm.mdx

@@ -31,12 +31,12 @@ The original code can be found [here](https://github.com/princeton-nlp/DinkyTrai
 
 ## 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)
 
 ## RobertaPreLayerNormConfig
 

docs/source/en/model_doc/roberta.mdx

@@ -70,7 +70,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 - [`RobertaForSequenceClassification`] 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).
 - [`TFRobertaForSequenceClassification`] 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).
 - [`FlaxRobertaForSequenceClassification`] 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"/>
 
@@ -78,7 +78,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 - [`TFRobertaForTokenClassification`] 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).
 - [`FlaxRobertaForTokenClassification`] 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"/>
 
@@ -87,7 +87,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 - [`TFRobertaForMaskedLM`] 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).
 - [`FlaxRobertaForMaskedLM`] 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"/>
 
@@ -96,12 +96,12 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 - [`TFRobertaForQuestionAnswering`] 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).
 - [`FlaxRobertaForQuestionAnswering`] 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**
 - [`RobertaForMultipleChoice`] 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).
 - [`TFRobertaForMultipleChoice`] 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)
 
 ## RobertaConfig
 

docs/source/en/model_doc/roc_bert.mdx

@@ -33,12 +33,12 @@ This model was contributed by [weiweishi](https://huggingface.co/weiweishi).
 
 ## 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)
 
 ## RoCBertConfig
 

docs/source/en/model_doc/roformer.mdx

@@ -39,12 +39,12 @@ This model was contributed by [junnyu](https://huggingface.co/junnyu). The origi
 
 ## 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)
 
 ## RoFormerConfig
 

docs/source/en/model_doc/segformer.mdx

@@ -91,7 +91,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 <PipelineTag pipeline="image-classification"/>
 
 - [`SegformerForImageClassification`] 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).
-- [Image classification task guide](./tasks/image_classification)
+- [Image classification task guide](../tasks/image_classification)
 
 Semantic segmentation:
 
@@ -99,7 +99,7 @@ Semantic segmentation:
 - A blog on fine-tuning SegFormer on a custom dataset can be found [here](https://huggingface.co/blog/fine-tune-segformer).
 - More demo notebooks on SegFormer (both inference + fine-tuning on a custom dataset) can be found [here](https://github.com/NielsRogge/Transformers-Tutorials/tree/master/SegFormer).
 - [`TFSegformerForSemanticSegmentation`] is supported by this [example notebook](https://github.com/huggingface/notebooks/blob/main/examples/semantic_segmentation-tf.ipynb).
-- [Semantic segmentation task guide](./tasks/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/sew-d.mdx

@@ -38,8 +38,8 @@ This model was contributed by [anton-l](https://huggingface.co/anton-l).
 
 ## 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)
 
 ## SEWDConfig
 

docs/source/en/model_doc/sew.mdx

@@ -38,8 +38,8 @@ This model was contributed by [anton-l](https://huggingface.co/anton-l).
 
 ## 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)
 
 ## SEWConfig
 

docs/source/en/model_doc/speech_to_text_2.mdx

@@ -96,7 +96,7 @@ See [model hub](https://huggingface.co/models?filter=speech2text2) to look for S
 
 ## Documentation resources
 
-- [Causal language modeling task guide](./tasks/language_modeling)
+- [Causal language modeling task guide](../tasks/language_modeling)
 
 ## Speech2Text2Config
 

docs/source/en/model_doc/splinter.mdx

@@ -49,7 +49,7 @@ This model was contributed by [yuvalkirstain](https://huggingface.co/yuvalkirsta
 
 ## Documentation resources
 
-- [Question answering task guide](./tasks/question-answering)
+- [Question answering task guide](../tasks/question-answering)
 
 ## SplinterConfig
 

docs/source/en/model_doc/squeezebert.mdx

@@ -48,11 +48,11 @@ This model was contributed by [forresti](https://huggingface.co/forresti).
 
 ## 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)
 
 ## SqueezeBertConfig
 

docs/source/en/model_doc/swin.mdx

@@ -52,7 +52,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 <PipelineTag pipeline="image-classification"/>
 
 - [`SwinForImageClassification`] 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/swinv2.mdx

@@ -33,7 +33,7 @@ A list of official Hugging Face and community (indicated by 🌎) resources to h
 <PipelineTag pipeline="image-classification"/>
 
 - [`Swinv2ForImageClassification`] 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/switch_transformers.mdx

@@ -34,8 +34,8 @@ The original code can be found [here](https://github.com/google/flaxformer/tree/
 
 ## Resources
 
-- [Translation task guide](./tasks/translation)
-- [Summarization task guide](./tasks/summarization)
+- [Translation task guide](../tasks/translation)
+- [Summarization task guide](../tasks/summarization)
 
 ## SwitchTransformersConfig