GitLab

* fix the placement on device with fp16_full_eval

* deepspeed never goes on device

* Update language_modeling.py

in "class TextDatasetForNextSentencePrediction(Dataset)", double considering "self.tokenizer.num_special_tokens_to_add(pair=True)" 

so, i remove self.block_size, and add parameter for "def create_examples_from_document". like "class LineByLineWithSOPTextDataset" do

* Update language_modeling.py

* Bulk of the work

* Polish and tests

* Update QA Trainer

* Avoid breaking the predict method

* Deprecation warnings

* Store real eval dataloder

* Get eval dataset reference before wrap

* [WIP] Enabling multilingual models for translation pipelines.

* decoder_input_ids -> forced_bos_token_id

* Improve docstring.

* Rebase

* Fixing 2 bugs

- Type token_ids coming from `_parse_and_tokenize`
- Wrong index from tgt_lang.

* Fixing black version.

* Adding tests for _build_translation_inputs and add them for all
tokenizers.

* Mbart actually puts the lang code at the end.

* Fixing m2m100.

* Adding TF support to `deep_round`.

* Update src/transformers/pipelines/text2text_generation.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Adding one line comment.

* Fixing M2M100 `_build_translation_input_ids`, and fix the call site.

* Fixing tests + deep_round -> nested_simplify
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

missed this updating when bumped the version.

* Save fast tokenizers in both formats

* Fix for HerBERT

* Proper fix

* Properly test new behavior

* Adding task aliases and adding `token-classification` and
`text-classification` tasks.

* Cleaning docstring.

* IterableDatasetShard

* Test and integration in Trainer

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

* Style
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* test on one node 2 gpus max

* fix the other place

* refactor

* fix

* cleanup

* more exact version

* add 2 points of reference to the offline mode

* link the new doc

* add error message

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

* style

* rename

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

* Add prefix to examples in model_doc rst

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update modeling_gpt_neo.py

dimention -> dimension

* Update configuration_speech_to_text.py

dimention -> dimension

Co-authored-by: Sudharsan Thirumalai <sudharsan.t@sprinklr.com>

* Updated stale bot

* Specify issue number

* Remove particular handling of assignees

* Unleash the stalebot

* Remove debug branch

Co-authored-by: nithin19 <nithin@amberscript.com>

* temp band-aid

* style

* Run CI on deepspeed and fairscale

* Test it on this branch :)

* Rename

* Update the CI image

* Indent code block

* Indent code blocks version 2

* Quality

* refactor GPT2

* fix mlp and head pruning

* address Sylvains comments

* apply suggestion from code review
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Replace error by warning when loading an architecture in another

* Style

* Style again

* Add a test

* Adapt old test

* Start writing BERT-Japanese doc

* Fix typo, Update toctree

* Modify model file to use comment for document, Add examples

* Clean bert_japanese by make style

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Split a big code block into two

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Add prefix >>> to all lines in code blocks

* Clean bert_japanese by make fixup
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Fix GPT-2 warnings

* Update src/transformers/models/gpt2/modeling_gpt2.py
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

wav2vec2 converter: create the proper vocab.json while converting fairseq wav2vec2 finetuned model (#11041)

* add vocab while converting wav2vec2 original finetuned model

* check save directory exists

* return_attention_mask fix

* quality

* increased train_runtime for model parallelism

* added documentation for framework upgrade

* First draft of deit

* More improvements

* Remove DeiTTokenizerFast from init

* Conversion script works

* Add DeiT to ViT conversion script

* Add tests, add head model, add support for deit in vit conversion script

* Update model checkpoint names

* Update image_mean and image_std, set resample to bicubic

* Improve docs

* Docs improvements

* Add DeiTForImageClassificationWithTeacher to init

* Address comments by @sgugger

* Improve feature extractors

* Make fix-copies

* Minor fixes

* Address comments by @patil-suraj

* All models uploaded

* Fix tests

* Remove labels argument from DeiTForImageClassificationWithTeacher

* Fix-copies, style and quality

* Fix tests

* Fix typo

* Multiple docs improvements

* More docs fixes