GitLab

* Add initial remote hardware auto-setup docs

* Fix a few typos and clarify some language

* Add missing dependency

* Update self-hosted launch script with Sylvain's comments.

* Formatting.

* Trigger CI

* Style

* Pin tensorflow-text to go with tensorflow

* Make it more convenient to pin TensorFlow

* setup don't like f-strings

allow only test_file in pytorch and flax summarization

* add low_cpu_mem_usage option in run_clm.py example which will benefit LLM loading
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

* update all the example and README under language-modeling
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

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Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

* Add specaugment to run_speech_recognition_seq2seq.py

* Remove useless argument: text_column

* Fix quality

* Update return_attention_mask condition

* Update specaugment arguments only for whisper models

* Remove SpecAugment arguments from ModelArguments, only leave default values for simplicity

* Apply suggestions from code review
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Update apply_spec_augment only for whisper models

* Apply suggestions from code review
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Rename return_attention_mask to forward_attention_mask to avoid confusion with wav2vec2 models

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Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Stop requiring Torch for our TF examples!

* Slight tweak to logging in the example itself

* Initial commit

* stash commit

* Add model checkpointing and pushing

* Fix model name inference

* Update README

* Update README

* Remove a couple of Torch references

* Update copyright date

* make fixup

* Update PushToHubCallback args!

* Remove the torch summary

* Add strategy.scope

* Add check for different embedding types in examples

* Correctly update summarization example

* Override the decoding parameters of Seq2SeqTrainer

* Fix quality

* Fix max_length parameter

* Fix quality

* Remove redundant parameter max_length

* Separate the preprocess of train and validation to use different max_target_length

* [Examples] Generalise run audio classification for log-mel models

* batch feature extractor

* make style

* Respect documentation on passive log level

* Fix test and set log level in examples

* Add doc

pin pytorch lightning requirement

Bump werkzeug in /examples/research_projects/decision_transformer

Bumps [werkzeug](https://github.com/pallets/werkzeug) from 2.0.3 to 2.2.3.
- [Release notes](https://github.com/pallets/werkzeug/releases)
- [Changelog](https://github.com/pallets/werkzeug/blob/main/CHANGES.rst)
- [Commits](https://github.com/pallets/werkzeug/compare/2.0.3...2.2.3

)

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updated-dependencies:
- dependency-name: werkzeug
  dependency-type: direct:production
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Bump ipython in /examples/research_projects/decision_transformer

Bumps [ipython](https://github.com/ipython/ipython) from 8.1.1 to 8.10.0.
- [Release notes](https://github.com/ipython/ipython/releases)
- [Commits](https://github.com/ipython/ipython/compare/8.1.1...8.10.0

)

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  dependency-type: direct:production
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Update run_mae.py

Update run_speech_recognition_ctc.py

There should be `# limitations under the License` line at the end of the documentation section.

docs: fix some references in PyTorch text classification readme

Bump cryptography from 36.0.2 to 39.0.1 in /examples/research_projects/decision_transformer (#21507)

Bump cryptography in /examples/research_projects/decision_transformer

Bumps [cryptography](https://github.com/pyca/cryptography) from 36.0.2 to 39.0.1.
- [Release notes](https://github.com/pyca/cryptography/releases)
- [Changelog](https://github.com/pyca/cryptography/blob/main/CHANGELOG.rst)
- [Commits](https://github.com/pyca/cryptography/compare/36.0.2...39.0.1

)

---
updated-dependencies:
- dependency-name: cryptography
  dependency-type: direct:production
...
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* Remove mentions of flake8/isort

* Clean up inits

* Deall with all other inits

* Last special rule for dummy files

Bump oauthlib in /examples/research_projects/decision_transformer

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.2.1 to 3.2.2.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/oauthlib/oauthlib/compare/v3.2.1...v3.2.2

)

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- dependency-name: oauthlib
  dependency-type: direct:production
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* Result of black 23.1

* Update target to Python 3.7

* Switch flake8 to ruff

* Configure isort

* Configure isort

* Apply isort with line limit

* Put the right black version

* adapt black in check copies

* Fix copies

* do not use prefix="val" for test

The dummy example fails when test_epoch_end is called. The prefix="test" should be dynamic in the log metrics too.

* Create test.source

* Create test.target

* Add VQGAN-CLIP research project

* fixed style issues

* Update examples/research_projects/vqgan-clip/README.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update examples/research_projects/vqgan-clip/VQGAN_CLIP.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update examples/research_projects/vqgan-clip/requirements.txt
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update examples/research_projects/vqgan-clip/README.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update examples/research_projects/vqgan-clip/VQGAN_CLIP.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update examples/research_projects/vqgan-clip/VQGAN_CLIP.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update examples/research_projects/vqgan-clip/VQGAN_CLIP.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update examples/research_projects/vqgan-clip/loaders.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* replace CLIPProcessor with tokenizer, change asserts to exceptions

* rm unused import

* remove large files (jupyter notebook linked in readme, imgs migrated to hf dataset)

* add tokenizers dependency

* Remove comment
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* rm model checkpoints

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Co-authored-by: Erwann Millon <erwann@Erwanns-MacBook-Air.local>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* TF image classification script

* Update requirements

* Fix up

* Add tests

* Update test fetcher
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Fix directory path

* Adding `zero-shot-object-detection` pipeline doctest. (#20274)

* Adding `zero-shot-object-detection` pipeline doctest.

* Remove nested_simplify.

* Add generate kwargs to `AutomaticSpeechRecognitionPipeline` (#20952)

* Add generate kwargs to AutomaticSpeechRecognitionPipeline

* Add test for generation kwargs

* Trigger CI

* Data collator returns np

* Update feature extractor -> image processor

* Bug fixes - updates to reflect changes in API

* Update flags to match PT & run faster

* Update instructions - Maria's comment

* Update examples/tensorflow/image-classification/README.md

* Remove slow decorator

---------
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
Co-authored-by: bofeng huang <bofenghuang7@gmail.com>
Co-authored-by: Sylvain Gugger <Sylvain.gugger@gmail.com>

* simplify column_names in run_clm

* simplify column_names in run_mlm

* minor

* [run_clm example] add streaming dataset support

* unrefactor kwargs

* fix

* fix

* require datasets>=2.0.0

* port to mlm

Bump onnx in /examples/research_projects/decision_transformer

Bumps [onnx](https://github.com/onnx/onnx) from 1.11.0 to 1.13.0.
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog.md)
- [Commits](https://github.com/onnx/onnx/compare/v1.11.0...v1.13.0

)

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  dependency-type: direct:production
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Return NP instead of TF tensors for our data loading pipeline

* Update examples to use image processors

* Small fixes

* Resolve conflicts