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08b41b413a
transformers/docs/source/_toctree.yml
NielsRogge ac227093e4
Add ViLT (#14895) 
* First commit

* Add conversion script

* Make conversion script work for base model

* More improvements

* Update conversion script, works for vqa

* Add indexing argument to meshgrid

* Make conversion script work for ViltForPreTraining

* Add ViltForPreTraining to docs

* Fix device issue

* Add processor

* Add MinMaxResize to feature extractor

* Implement call method of ViltProcessor

* Fix tests

* Add integration test

* Add loss calculation for VQA

* Improve tests

* Improve some more tests

* Debug tests

* Small improvements

* Add support for attention_mask

* Remove mask_it

* Add pixel_mask

* Add tests for ViltFeatureExtractor

* Improve tests

* Add ViltForNaturalLanguageVisualReasoning

* Add ViltForNaturalLanguageVisualReasoning to conversion script

* Minor fixes

* Add support for image_embeds, update docstrings to markdown

* Update docs to markdown

* Improve conversion script

* Rename ViltForPreTraining to ViltForMaskedLM

* Improve conversion script

* Convert docstrings to markdown

* Fix code example of retrieval model

* Properly convert masked language model

* Add integration test for nlvr

* Fix code quality

* Apply suggestions from code review

* Add copied from statements

* Fix pretrained_config_archive_map

* Fix docs

* Add model to README

* Apply suggestions from code review

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

* Apply more suggestions from code review

* Make code more readable

* Add ViltForNaturalLanguageVisualReasoning to the tests

* Rename ViltForVisualQuestionAnswering to ViltForQuestionAnswering

* Replace pixel_values_2 by single tensor

* Add hidden_states and attentions

* Fix one more test

* Fix all tests

* Update year

* Fix rebase issues

* Fix another rebase issue

* Remove ViltForPreTraining from auto mapping

* Rename ViltForImageRetrievalTextRetrieval to ViltForImageAndTextRetrieval

* Make it possible to use BertTokenizerFast in the processor

* Use BertTokenizerFast by default

* Rename ViltForNaturalLanguageVisualReasoning, define custom model output

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
2022-01-19 19:51:59 +01:00

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- sections:
- local: index
title: 🤗 Transformers
- local: quicktour
title: Quick tour
- local: installation
title: Installation
- local: philosophy
title: Philosophy
- local: glossary
title: Glossary
title: Get started
- sections:
- local: task_summary
title: Summary of the tasks
- local: model_summary
title: Summary of the models
- local: preprocessing
title: Preprocessing data
- local: training
title: Fine-tuning a pretrained model
- local: model_sharing
title: Model sharing and uploading
- local: tokenizer_summary
title: Summary of the tokenizers
- local: multilingual
title: Multi-lingual models
title: "Using 🤗 Transformers"
- sections:
- local: examples
title: Examples
- local: troubleshooting
title: Troubleshooting
- local: custom_datasets
title: Fine-tuning with custom datasets
- local: notebooks
title: "🤗 Transformers Notebooks"
- local: sagemaker
title: Run training on Amazon SageMaker
- local: community
title: Community
- local: converting_tensorflow_models
title: Converting Tensorflow Checkpoints
- local: migration
title: Migrating from previous packages
- local: contributing
title: How to contribute to transformers?
- local: add_new_model
title: "How to add a model to 🤗 Transformers?"
- local: add_new_pipeline
title: "How to add a pipeline to 🤗 Transformers?"
- local: fast_tokenizers
title: "Using tokenizers from 🤗 Tokenizers"
- local: performance
title: 'Performance and Scalability: How To Fit a Bigger Model and Train It Faster'
- local: parallelism
title: Model Parallelism
- local: testing
title: Testing
- local: debugging
title: Debugging
- local: serialization
title: Exporting 🤗 Transformers models
- local: pr_checks
title: Checks on a Pull Request
title: Advanced guides
- sections:
- local: bertology
title: BERTology
- local: perplexity
title: Perplexity of fixed-length models
- local: benchmarks
title: Benchmarks
title: Research
- sections:
- sections:
- local: main_classes/callback
title: Callbacks
- local: main_classes/configuration
title: Configuration
- local: main_classes/data_collator
title: Data Collator
- local: main_classes/keras_callbacks
title: Keras callbacks
- local: main_classes/logging
title: Logging
- local: main_classes/model
title: Models
- local: main_classes/onnx
title: ONNX
- local: main_classes/optimizer_schedules
title: Optimization
- local: main_classes/output
title: Model outputs
- local: main_classes/pipelines
title: Pipelines
- local: main_classes/processors
title: Processors
- local: main_classes/tokenizer
title: Tokenizer
- local: main_classes/trainer
title: Trainer
- local: main_classes/deepspeed
title: DeepSpeed Integration
- local: main_classes/feature_extractor
title: Feature Extractor
title: Main Classes
- sections:
- local: model_doc/albert
title: ALBERT
- local: model_doc/auto
title: Auto Classes
- local: model_doc/bart
title: BART
- local: model_doc/barthez
title: BARThez
- local: model_doc/bartpho
title: BARTpho
- local: model_doc/beit
title: BEiT
- local: model_doc/bert
title: BERT
- local: model_doc/bertweet
title: Bertweet
- local: model_doc/bert-generation
title: BertGeneration
- local: model_doc/bert-japanese
title: BertJapanese
- local: model_doc/big_bird
title: BigBird
- local: model_doc/bigbird_pegasus
title: BigBirdPegasus
- local: model_doc/blenderbot
title: Blenderbot
- local: model_doc/blenderbot-small
title: Blenderbot Small
- local: model_doc/bort
title: BORT
- local: model_doc/byt5
title: ByT5
- local: model_doc/camembert
title: CamemBERT
- local: model_doc/canine
title: CANINE
- local: model_doc/clip
title: CLIP
- local: model_doc/convbert
title: ConvBERT
- local: model_doc/cpm
title: CPM
- local: model_doc/ctrl
title: CTRL
- local: model_doc/deberta
title: DeBERTa
- local: model_doc/deberta-v2
title: DeBERTa-v2
- local: model_doc/deit
title: DeiT
- local: model_doc/detr
title: DETR
- local: model_doc/dialogpt
title: DialoGPT
- local: model_doc/distilbert
title: DistilBERT
- local: model_doc/dpr
title: DPR
- local: model_doc/electra
title: ELECTRA
- local: model_doc/encoder-decoder
title: Encoder Decoder Models
- local: model_doc/flaubert
title: FlauBERT
- local: model_doc/fnet
title: FNet
- local: model_doc/fsmt
title: FSMT
- local: model_doc/funnel
title: Funnel Transformer
- local: model_doc/herbert
title: HerBERT
- local: model_doc/ibert
title: I-BERT
- local: model_doc/imagegpt
title: ImageGPT
- local: model_doc/layoutlm
title: LayoutLM
- local: model_doc/layoutlmv2
title: LayoutLMV2
- local: model_doc/layoutxlm
title: LayoutXLM
- local: model_doc/led
title: LED
- local: model_doc/longformer
title: Longformer
- local: model_doc/luke
title: LUKE
- local: model_doc/lxmert
title: LXMERT
- local: model_doc/marian
title: MarianMT
- local: model_doc/m2m_100
title: M2M100
- local: model_doc/mbart
title: MBart and MBart-50
- local: model_doc/megatron-bert
title: MegatronBERT
- local: model_doc/megatron_gpt2
title: MegatronGPT2
- local: model_doc/mluke
title: MLUKE
- local: model_doc/mobilebert
title: MobileBERT
- local: model_doc/mluke
title: mLUKE
- local: model_doc/mpnet
title: MPNet
- local: model_doc/mt5
title: MT5
- local: model_doc/nystromformer
title: Nyströmformer
- local: model_doc/openai-gpt
title: OpenAI GPT
- local: model_doc/gpt2
title: OpenAI GPT2
- local: model_doc/gptj
title: GPT-J
- local: model_doc/gpt_neo
title: GPT Neo
- local: model_doc/hubert
title: Hubert
- local: model_doc/perceiver
title: Perceiver
- local: model_doc/pegasus
title: Pegasus
- local: model_doc/phobert
title: PhoBERT
- local: model_doc/prophetnet
title: ProphetNet
- local: model_doc/qdqbert
title: QDQBert
- local: model_doc/rag
title: RAG
- local: model_doc/realm
title: REALM
- local: model_doc/reformer
title: Reformer
- local: model_doc/rembert
title: RemBERT
- local: model_doc/retribert
title: RetriBERT
- local: model_doc/roberta
title: RoBERTa
- local: model_doc/roformer
title: RoFormer
- local: model_doc/segformer
title: SegFormer
- local: model_doc/sew
title: SEW
- local: model_doc/sew-d
title: SEW-D
- local: model_doc/speech-encoder-decoder
title: Speech Encoder Decoder Models
- local: model_doc/speech_to_text
title: Speech2Text
- local: model_doc/speech_to_text_2
title: Speech2Text2
- local: model_doc/splinter
title: Splinter
- local: model_doc/squeezebert
title: SqueezeBERT
- local: model_doc/t5
title: T5
- local: model_doc/t5v1.1
title: T5v1.1
- local: model_doc/tapas
title: TAPAS
- local: model_doc/transfo-xl
title: Transformer XL
- local: model_doc/trocr
title: TrOCR
- local: model_doc/unispeech
title: UniSpeech
- local: model_doc/unispeech-sat
title: UniSpeech-SAT
- local: model_doc/vilt
title: ViLT
- local: model_doc/vision-encoder-decoder
title: Vision Encoder Decoder Models
- local: model_doc/vision-text-dual-encoder
title: Vision Text Dual Encoder
- local: model_doc/vit
title: Vision Transformer (ViT)
- local: model_doc/vit_mae
title: ViTMAE
- local: model_doc/visual_bert
title: VisualBERT
- local: model_doc/wav2vec2
title: Wav2Vec2
- local: model_doc/wav2vec2_phoneme
title: Wav2Vec2Phoneme
- local: model_doc/wavlm
title: WavLM
- local: model_doc/xlm
title: XLM
- local: model_doc/xlm-prophetnet
title: XLM-ProphetNet
- local: model_doc/xlm-roberta
title: XLM-RoBERTa
- local: model_doc/xlnet
title: XLNet
- local: model_doc/xlsr_wav2vec2
title: XLSR-Wav2Vec2
- local: model_doc/xls_r
title: XLS-R
title: Models
- sections:
- local: internal/modeling_utils
title: Custom Layers and Utilities
- local: internal/pipelines_utils
title: Utilities for pipelines
- local: internal/tokenization_utils
title: Utilities for Tokenizers
- local: internal/trainer_utils
title: Utilities for Trainer
- local: internal/generation_utils
title: Utilities for Generation
- local: internal/file_utils
title: General Utilities
title: Internal Helpers
title: API
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