GitLab

* Add doctesting section

* Improve

* 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>

* Improve the parameter `bad_word_ids' usage

* Update the bad_words_ids strategy

* add scores to Wav2Vec2WithLMOutput

* style fixup

* Allow custom code for Processors

* Add more test

* Test all auto_map configs are properly set

Forward looks for inputs, not input_ids

Fix ASR pipelines from local directories with wav2vec models that have language models attached (#15590)

* Fix loading pipelines with wav2vec models with lm when in local paths

* Adding tests

* Fix test

* Adding tests

* Flake8 fixes

* Removing conflict files :(

* Adding task type to test

* Remove unnecessary test and imports

`tokenizers` version that supports the feature to choose the direction of truncation

This reverts commit 41168a49.

Co-authored-by: muz <muzhi1991@limuzhideMBP-2.lan>

* Rework AutoFeatureExtractor.from_pretrained internal

* Custom feature extractor

* Add more tests

* Add support for custom feature extractor code

* Clean up

* Add register API to AutoFeatureExtractor

* Remove error logging in from_pretrained() method

* Add attribute_map

* Add mention in docs

* Set hidden_size attribute correctly

* Add note about Transformer-based models only
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MBP.localdomain>

* Fix wrong checkpoint name: vit

* Fix missing import

* Fix more missing import

* make style

* Apply suggestions from code review
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Add push to hub to feature extractor

* Quality

* Clean up

"to make ensure" is redundant.

* Rework AutoFeatureExtractor.from_pretrained internal

* Custom feature extractor

* Add more tests

* Add support for custom feature extractor code

* Clean up

* [research_projects] deal with security alerts

* add a note of the original PL ver and warning

* [deepspeed docs] round_robin_gradients

* training and/or eval/predict loss is

* Update docs/source/main_classes/deepspeed.mdx
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Fix TF MT5 vocab resize

* more assertive testing

* Add informative warning

* Add local and TensorFlow ONNX export examples to docs

* Use PyTorch - TensorFlow split

Co-authored-by: Niels Rogge <nielsrogge@Nielss-MBP.localdomain>

* Compute loss independent from decoder (as 14139)

* fix expected seq_len + style

* Apply the same change to TFVisionEncoderDecoderModel

* fix style

* Add case with labels in equivalence test

* uncomment

* Add case with labels in equivalence test

* add decoder_token_labels

* use hf_compute_loss

* Apply suggestions from code review
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Add copied from
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Add TensorFlow support for ONNX export

* Change documentation to mention conversion with Tensorflow

* Refactor export into export_pytorch and export_tensorflow

* Check model's type instead of framework installation to choose between TF and Pytorch
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Alberto Bégué <alberto.begue@della.ai>
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

* Expand tutorial for custom models

* Style

* Apply suggestions from code review
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>