GitLab

Bumps [urllib3](https://github.com/urllib3/urllib3) from 1.25.8 to 1.26.5.
- [Release notes](https://github.com/urllib3/urllib3/releases)
- [Changelog](https://github.com/urllib3/urllib3/blob/main/CHANGES.rst)
- [Commits](https://github.com/urllib3/urllib3/compare/1.25.8...1.26.5

)

---
updated-dependencies:
- dependency-name: urllib3
  dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* initial

* code quality test

* code quality

* added test functions in test_modeling_rag.py and test_retrieval_rag.py to test end2end retreiver

* minor change in test_modeling_rag

* fixed tests

* Update examples/research_projects/rag-end2end-retriever/README.md

typo corrected as suggested by lhoestq
Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>

* Update examples/research_projects/rag-end2end-retriever/finetune_rag.py

type change suggested by lhoestq
Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>

* Update src/transformers/models/rag/retrieval_rag.py

Adding this change as mentioned by lhoestq.
Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>

* completed the minor changes suggested by the reviewers
Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>

Add link to code

As the error comes from the inconsistency of variable meaning number of gpus in parser and its actual usage in the train.py script, 'gpus' and 'n_gpu' respectively,  the correction makes the example work

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

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

* The 'warn' method is deprecated

* fix test

Fixes https://github.com/huggingface/transformers/security/dependabot/examples/research_projects/lxmert/requirements.txt/Pygments/open

@LysandreJik

this PR fixes https://github.com/huggingface/transformers/security/dependabot/examples/research_projects/lxmert/requirements.txt/PyYAML/open

Takes care of:
https://github.com/huggingface/transformers/security/dependabot/examples/research_projects/lxmert/requirements.txt/jinja2/open



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

Bumps [jinja2](https://github.com/pallets/jinja) from 2.11.2 to 2.11.3.
- [Release notes](https://github.com/pallets/jinja/releases)
- [Changelog](https://github.com/pallets/jinja/blob/master/CHANGES.rst)
- [Commits](https://github.com/pallets/jinja/compare/2.11.2...2.11.3

)
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

Fix typo.

* wording/typos tweaks

* Make model upload instructions simpler

* finish

* fix

* fix

* fix

* fix

Following up on a security alert:
https://github.com/huggingface/transformers/security/dependabot/examples/research_projects/lxmert/requirements.txt/Pillow/open

* upload

* upload fine-tuning script

* improve

* adapt

* Apply suggestions from code review

* correct

* upload

* finalize

* remove @

* correct typos

* add initial script

* finish script

* add shell script example

* accept chars_to_ignor as cl arg

* align the script with other example scripts

* add torchaudio dep

* wav2vec2: support datasets other than LibriSpeech

* Formatting run_asr.py to pass code quality test

* bundled orthography options and added verbose logs

* fixing a typo in timit fine-tuning script

* update comment for clarity

* resize_lm_head and load custom vocab from file

* adding a max_duration_in_seconds filter

* do not assign `duration_filter` lambda, use a def

* log untransliterated text as well

* fix base model for arabic

* fix duration filter when target_sr is not set

* drop duration_in_seconds when unneeded

* script for wav2vec2-large-lv60-timit-asr

* fix for "tha" in arabic corpus (huggingface#10581)

* adding more options to work with common_voice

* PR feedback (huggingface#10581)

* small README change

* batch 1

* this is tpu

* deebert attempt

* the rest

* add encode labels function to tokenizer

* start adding finetuning

* init dropout

* upload

* correct convert script

* apply changes

* fix second typo

* make first dummy training run

* adapt convert script

* push confg for comparison

* remove conf

* finish training

* adapt data collator

* add research folder

* update according to fairseq feedback

* some minor corrections

* refactor masking indices a bit

* some minor changes

* clean tokenizer

* finish clean-up

* remove previous logic

* update run script

* correct training

* finish changes

* finish model

* correct bug

* fix training a bit more

* add some tests

* finish gradient checkpointing

* finish example

* correct gradient checkpointing

* improve tokenization method

* revert changes in tokenizer

* revert general change

* adapt fine-tuning

* update

* save intermediate test

* Update README.md

* finish finetuning

* delete conversion script

* Update src/transformers/models/wav2vec2/configuration_wav2vec2.py

* Update src/transformers/models/wav2vec2/processing_wav2vec2.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* finish wav2vec2 script

* finish wav2vec2 fine-tuning

* finalize test

* correct test

* adapt tests

* finish

* remove test file
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* add zero-shot distillation script

* readme wordsmithing

* clean up code

* add multi-gpu teacher inference
plus tidying up more code

* add use_fast_tokenizer arg

* update results in readme

* more readme wordsmithing

* style

* Add handle to readme
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* fix code block

* add error+docs about distributed & tpu

* add @sgugger format requests

* xla -> tpu

* support fp16 for teacher preds

* no checkpoint by default

* add demo colab link

* add model sharing prompt + model link

* correct resulting acc of example
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>