GitLab

* add MBartForConditionalGeneration

* style

* rebase and fixes

* add mbart test in TEST_FILES_WITH_NO_COMMON_TESTS

* fix docs

* don't ignore mbart

* doc

* fix mbart fairseq link

* put mbart before bart

* apply doc suggestions

* add encoder-decoder for roberta

* fix headmask

* apply Sylvains suggestions

* fix typo

* Apply suggestions from code review

* Activate check on the CI

* Fix repo inconsistencies

* Don't document too much

Co-authored-by: Jingqing  Zhang <jingqing.zhang15@imperial.ac.uk>

* improve names and tests longformer

* more and better tests for longformer

* add first tf test

* finalize tf basic op functions

* fix merge

* tf shape test passes

* narrow down discrepancies

* make longformer local attn tf work

* correct tf longformer

* add first global attn function

* add more global longformer func

* advance tf longformer

* finish global attn

* upload big model

* finish all tests

* correct false any statement

* fix common tests

* make all tests pass except keras save load

* fix some tests

* fix torch test import

* finish tests

* fix test

* fix torch tf tests

* add docs

* finish docs

* Update src/transformers/modeling_longformer.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Update src/transformers/modeling_tf_longformer.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* apply Lysandres suggestions

* reverse to assert statement because function will fail otherwise

* applying sylvains recommendations

* Update src/transformers/modeling_longformer.py
Co-authored-by: Sam Shleifer <sshleifer@gmail.com>

* Update src/transformers/modeling_tf_longformer.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sam Shleifer <sshleifer@gmail.com>

* Add a script to check all models are tested and documented

* Apply suggestions from code review
Co-authored-by: Kevin Canwen Xu <canwenxu@126.com>

* Address comments
Co-authored-by: Kevin Canwen Xu <canwenxu@126.com>

* TF outputs and test on BERT

* Albert to DistilBert

* All remaining TF models except T5

* Documentation

* One file forgotten

* TF outputs and test on BERT

* Albert to DistilBert

* All remaining TF models except T5

* Documentation

* One file forgotten

* Add new models and fix issues

* Quality improvements

* Add T5

* A bit of cleanup

* Fix for slow tests

* Style

* Remove out-dated BERT tips

* Update modeling_outputs.py

* Update bert.rst

* Update bert.rst

a = tokenizer.encode("we got a <extra_id_99>", return_tensors='pt',add_special_tokens=True)
print(a)
>tensor([[   62,   530,     3,     9, 32000]])
a = tokenizer.encode("we got a <extra_id_100>", return_tensors='pt',add_special_tokens=True)
print(a)
>tensor([[   62,   530,     3,     9,     3,     2, 25666,   834,    23,    26,
           834,  2915,  3155]])

* implement FlaubertForTokenClassification as a subclass of XLMForTokenClassification

* fix mapping order

* add the doc

* add common tests

* Document model outputs

* Update docs/source/main_classes/output.rst
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

improve unittests for finetuning, especially w.r.t testing frozen parameters
fix freeze_embeds for T5
add streamlit setup.cfg

* beginning of dpr modeling

* wip

* implement forward

* remove biencoder + better init weights

* export dpr model to embed model for nlp lib

* add new api

* remove old code

* make style

* fix dumb typo

* don't load bert weights

* docs

* docs

* style

* move the `k` parameter

* fix init_weights

* add pretrained configs

* minor

* update config names

* style

* better config

* style

* clean code based on PR comments

* change Dpr to DPR

* fix config

* switch encoder config to a dict

* style

* inheritance -> composition

* add messages in assert startements

* add dpr reader tokenizer

* one tokenizer per model

* fix base_model_prefix

* fix imports

* typo

* add convert script

* docs

* change tokenizers conf names

* style

* change tokenizers conf names

* minor

* minor

* fix wrong names

* minor

* remove unused convert functions

* rename convert script

* use return_tensors in tokenizers

* remove n_questions dim

* move generate logic to tokenizer

* style

* add docs

* docs

* quality

* docs

* add tests

* style

* add tokenization tests

* DPR full tests

* Stay true to the attention mask building

* update docs

* missing param in bert input docs

* docs

* style
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>

* fix conflicts

* fix

* happy rebasing

* Add MobileBert

* Quality + Conversion script

* style

* Update src/transformers/modeling_mobilebert.py

* Links to S3

* Style

* TFMobileBert

Slight fixes to the pytorch MobileBert
Style

* MobileBertForMaskedLM (PT + TF)

* MobileBertForNextSentencePrediction (PT + TF)

* MobileFor{MultipleChoice, TokenClassification} (PT + TF)


ss

* Tests + Auto

* Doc

* Tests

* Addressing @sgugger's comments

* Adressing @patrickvonplaten's comments

* Style

* Style

* Integration test

* style

* Model card
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Update installation page and add contributing to the doc

* Remove mention of symlinks

* add eli5 examples

* add dense query script

* query_di

* merging

* merging

* add_utils

* adds nearest neighbor wikipedia

* batch queries

* training_retriever

* new notebooks

* moved retriever traiing script

* finished wiki40b

* max_len_fix

* train_s2s

* retriever_batch_checkpointing

* cleanup

* merge

* dim_fix

* fix_indexer

* fix_wiki40b_snippets

* fix_embed_for_r

* fp32 index

* fix_sparse_q

* joint_training

* remove obsolete datasets

* add_passage_nn_results

* add_passage_nn_results

* add_batch_nn

* add_batch_nn

* add_data_scripts

* notebook

* notebook

* notebook

* fix_multi_gpu

* add_app

* full_caching

* full_caching

* notebook

* sparse_done

* images

* notebook

* add_image_gif

* with_Gif

* add_contr_image

* notebook

* notebook

* notebook

* train_functions

* notebook

* min_retrieval_length

* pandas_option

* notebook

* min_retrieval_length

* notebook

* notebook

* eval_Retriever

* notebook

* images

* notebook

* add_example

* add_example

* notebook

* fireworks

* notebook

* notebook

* joe's notebook comments

* app_update

* notebook

* notebook_link

* captions

* notebook

* assing RetriBert model

* add RetriBert to Auto

* change AutoLMHead to AutoSeq2Seq

* notebook downloads from hf models

* style_black

* style_black

* app_update

* app_update

* fix_app_update

* style

* style

* isort

* Delete WikiELI5training.ipynb

* Delete evaluate_eli5.py

* Delete WikiELI5explore.ipynb

* Delete ExploreWikiELI5Support.html

* Delete explainlikeimfive.py

* Delete wiki_snippets.py

* children before parent

* children before parent

* style_black

* style_black_only

* isort

* isort_new

* Update src/transformers/modeling_retribert.py
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* typo fixes

* app_without_asset

* cleanup

* Delete ELI5animation.gif

* Delete ELI5contrastive.svg

* Delete ELI5wiki_index.svg

* Delete choco_bis.svg

* Delete fireworks.gif

* Delete huggingface_logo.jpg

* Delete huggingface_logo.svg

* Delete Long_Form_Question_Answering_with_ELI5_and_Wikipedia.ipynb

* Delete eli5_app.py

* Delete eli5_utils.py

* readme

* Update README.md

* unused imports

* moved_info

* default_beam

* ftuned model

* disclaimer

* Update src/transformers/modeling_retribert.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* black

* add_doc

* names

* isort_Examples

* isort_Examples

* Add doc to index
Co-authored-by: Julien Chaumond <chaumond@gmail.com>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>

* Add `DistilBertForMultipleChoice`

* Add AlbertForMultipleChoice

* Make up to date and add all models to common tests

* ElectraForQuestionAnswering

* udate __init__

* add test for electra qa model

* add ElectraForQuestionAnswering in auto models

* add ElectraForQuestionAnswering in all_model_classes

* fix outputs, input_ids defaults to None

* add ElectraForQuestionAnswering in docs

* remove commented line

* Add XLMRobertaForQuestionAnswering

* Formatting

* Make test happy

* Clean documentation

* 🐛 Fix model ids for BART and Flaubert

* better api

* improve automatic setting of global attention mask

* fix longformer bug

* fix global attention mask in test

* fix global attn mask flatten

* fix slow tests

* update docstring

* update docs and make more robust

* improve attention mask

* add multiple choice for longformer

* add models to docs

* adapt docstring

* add test to longformer

* add longformer for mc in init and modeling auto

* fix tests

* add new longformer for question answering model

* add new config as well

* fix links

* fix links part 2

* fix reformer num buckets

* fix

* adapt docs

* set num buckets in config

changed from https://https://arxiv.org/abs/2001.04451.pdf to https://arxiv.org/abs/2001.04451.pdf

* add longformer docs

* improve docs

[Marian Fixes] prevent predicting pad_token_id before softmax, support language codes, name multilingual models (#4290)