GitLab

Clarify OVH instruction

Add an OVHcloud tutorial URL for the Robust Speech Challenge

Fix usage of additional kwargs in `from_encoder_decoder_pretrained` in encoder-decoder models (#15056)

* [EncoderDecoder] Add test for usage of extra kwargs

* [EncoderDecoder] Fix usage of extra kwargs in from pretrained

* [EncoderDecoder] apply suggested changes (passing **kwargs_encoder)

* [EncoderDecoder] create new test function and make sure it passes
Co-authored-by: jonas <jsnfly@gmx.de>

* [WIP] Make chuking smartly (long files) work on asr ctc_with_lm.

* Slow test with functionality.

* Fixing regular test.

* fix for batch size 1

* Handling batch outside `rescale_Stride`.

- Renamed to `rescale_stride`.

* Disable equality in the test.

* Remove print.
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update code example

* Fix code quality

* Add comment

* 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>

* Fix PR number

* Fix PR number

* Fix typo

* Fix copies

* Add MAE to AutoFeatureExtractor

* Add link to notebook

* Fix relative paths

* Remove BertTokenizer abstraction

* Add FastTokenizer to REALM

* Fix config archive map

* Fix copies

* Update realm.mdx

* Apply suggestions from code review

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Wrap up

* Remove secret

* Fix path

* Typo

Revert image switch

* Specific token for comments

* Cleaner comments

* Correct PR number

* Explicit master install

* Force uninstall

* Rename compute_loss to hf_compute_loss to avoid conflicts with the new Keras method

* make style

* Adding deprecation warning to `compute_loss`

* Fix sneaky reference to compute_loss

* Replace logger.warning with warnings.warn

* Clarifying warning and deprecation timeline

* refactor run_flax_glue.py

* updated readme

* rm unused import and args typo fix

* refactor

* make consistent arg name across task

* has_tensorboard check

* argparse -> argument dataclasses

* refactor according to review

* fix

* feature: enable tqdm toggle

* test: add tqdm unit test

* style: run linter

* Update tests/test_tqdm_utils.py
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* refactor: use tiny model, run linter

* docs: add tqdm to logging

* docs: add tqdm reference to `http_get`

* style: run linter

* Update docs/source/main_classes/logging.mdx
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* fix: use `AutoConfig` for framework agnostic testing

* chore: mv tqdm test to `test_logging.py`

* feature: implement enable/disable functions

* docs: mv docstring to comment

* chore: mv tqdm functions to `logging.py`

* docs: update docs to reference `enable/disable` funcs

* test: update test to use `enable/disable` func

* chore: update function reference in comment
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* up

* improve readme

* up

* up

* more info

* up

* up

* Apply suggestions from code review
Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com>

* add more stuff for eval

* update

* up

* Update README.md

* Update examples/research_projects/xls_r/README.md
Co-authored-by: Omar Sanseviero <osanseviero@users.noreply.github.com>

* apply omar's suggestions
Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com>
Co-authored-by: Omar Sanseviero <osanseviero@users.noreply.github.com>

* fix doc example - MarianForCausalLM example

* try to keep copies

* fix copies

* fix more similar doc examples

* fix more

* fix style
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* fix: #14486 do not use BertPooler in DPR

* fix tf dpr as well

* finish
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* First draft

* More improvements

* More improvements

* More improvements

* Fix embeddings

* Add conversion script

* Finish conversion script

* More improvements

* Fix forward pass

* Remove print statements

* Add weights initialization

* Add initialization of decoder weights

* Add support for other models in the conversion script

* Fix patch_size for huge model

* Fix most of the tests

* Fix integration test

* Fix docs

* Fix archive_list

* Apply suggestions from code review

* Improve documentation

* Apply more suggestions

* Skip some tests due to non-deterministic behaviour

* Fix test_initialization

* Remove unneccessary initialization of nn.Embedding

* Improve docs

* Fix dummies

* Remove ViTMAEFeatureExtractor from docs

* Add model to README and table of contents

* Delete inference file

* Ignore empty subfolders when identifying submodules

* Update utils/check_inits.py

* [ASR pipeline] correct with lm pipeline

* improve error

* Style docstrings when making/checking copies

* Polish

* Fix deprecation warnings for int div
Co-authored-by: mgoldey <matthew.goldey@gmail.com>

* Fix import

* ensure that tensor output is python scalar

* make backward compatible

* make code more readable

* adapt test functions
Co-authored-by: mgoldey <matthew.goldey@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* 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>

* fix doc example - NameError: name 'PATH' is not defined

* fix name 'TFRagModel' is not defined

* correct TFRagRagSequenceForGeneration

* fix name 'tf' is not defined

* fix style
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* `is_ctc` needs to be updated to `self.type == "ctc".

* Adding fast test for this functionality.

* fix doc example - cannot import name 'UniSpeechSatFeatureEncoder'

* fix ckpt name
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>