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HuggingFace_transformer/docs/source/_toctree.yml
Li-Huai (Allan) Lin 22454ae492 Add REALM (#13292) 
* REALM initial commit

* Retriever OK (Update new_gelu).

* Encoder prediction score OK

* Encoder pretrained model OK

* Update retriever comments

* Update docs, tests, and imports

* Prune unused models

* Make embedder as a module `RealmEmbedder`

* Add RealmRetrieverOutput

* Update tokenization

* Pass all tests in test_modeling_realm.py

* Prune RealmModel

* Update docs

* Add training test.

* Remove completed TODO

* Style & Quality

* Prune `RealmModel`

* Fixup

* Changes:
1. Remove RealmTokenizerFast
2. Update docstrings
3. Add a method to RealmTokenizer to handle candidates tokenization.

* Fix up

* Style

* Add tokenization tests

* Update `from_pretrained` tests

* Apply suggestions

* Style & Quality

* Copy BERT model

* Fix comment to avoid docstring copying

* Make RealmBertModel private

* Fix bug

* Style

* Basic QA

* Save

* Complete reader logits

* Add searcher

* Complete searcher & reader

* Move block records init to constructor

* Fix training bug

* Add some outputs to RealmReader

* Add finetuned checkpoint variable names parsing

* Fix bug

* Update REALM config

* Add RealmForOpenQA

* Update convert_tfrecord logits

* Fix bugs

* Complete imports

* Update docs

* Update naming

* Add brute-force searcher

* Pass realm model tests

* Style

* Exclude RealmReader from common tests

* Fix

* Fix

* convert docs

* up

* up

* more make style

* up

* upload

* up

* Fix

* Update src/transformers/__init__.py

* adapt testing

* change modeling code

* fix test

* up

* up

* up

* correct more

* make retriever work

* update

* make style

* finish main structure

* Resolve merge conflict

* Make everything work

* Style

* Fixup

* Fixup

* Update training test

* fix retriever

* remove hardcoded path

* Fix

* Fix modeling test

* Update model links

* Initial retrieval test

* Fix modeling test

* Complete retrieval tests

* Fix

* style

* Fix tests

* Fix docstring example

* Minor fix of retrieval test

* Update license headers and docs

* Apply suggestions from code review

* Style

* Apply suggestions from code review

* Add an example to RealmEmbedder

* Fix

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
2022-01-18 07:24:13 -05:00

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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/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/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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