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Let's give TF a bit more love ❤️ 🙏

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

* logger.warning_once

* style

fix quality with ruff 0.0.253
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Fix gradient checkpointing bug in gptneox

* Remove use_cache block

fix nn.init.trunc_normal_ call on half data

* fix perceiver fp16

* hopefully fix tests

* add `accelerate` marker

* add to docs

* Update docs/source/en/testing.mdx

* uint8 -> bool

* fix copies

* style

* update test modeling commen when checking attention buffers

* style

* use logical not on random mask instead of subtraction with 1

* remove torch uint8

* quality

* remove modified modeling utils

* Update based on review
Co-authored-by: sgugger <sylvain.gugger@gmail.com>

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Co-authored-by: sgugger <sylvain.gugger@gmail.com>

* add pipeline

* update init

* add zero shot to init

* update inits and correct checkpoints

* update base to support input features

* add tests

* Update src/transformers/pipelines/zero_shot_audio_classification.py
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Update src/transformers/pipelines/zero_shot_audio_classification.py
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* update pieline code

* use tiny checkpoint

* nits and expected value with tiny model

* style

* last nit on tests values

* fix styling

* fix collate fn that was casting t float

* update

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Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

make concrete_args from outside available

* fix wrong url

* typos in english documentation

Fix docstring gpt2 config

* 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

* Fix resume_from_checkpoint for deepspeed

Fix resume_from_checkpoint for deepspeed, by ensuring that the deepspeed engine is the one to load the checkpoint.

* Empty commit to trigger CI

* Removed deepspeed skipping 

Removed deepspeed skipping inside the _load_from_checkpoint function, as it is obsolete

* another adjustment

* Trigger CI

* trigger circleci

* style

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Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
Co-authored-by: Stas Bekman <stas@stason.org>

* fix gradient checkpointing bug

* fix gradient checkpointing bug

* ran make fix-copies

* fixed bug

* fixed bug

* updated expected

* prediction_length fix

* prediction_length default value

* default prediction_length 24

* revert back prediction_length default

* move prediction_length test

Generate - update cookie cutters to not initialize cache with training and gradient checkpointing (#21759)

* fix history

* input_features instead of input ids for TFWhisport doctest

* use translate intead of transcribe

* Return and rescale attention_mask

* Add SpecAugment to Whisper modeling

* Fix test

* Update docstring

* Add SpecAug related parameters to model config

* Add the _mask_input_features function to doc

* Fix quality

* Apply suggestions from code review
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Remove dev comments

* Add test

* Resolve conflict

* feat: mask {feature, time} prob fast tests

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

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Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: sanchit-gandhi <sanchit@huggingface.co>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Different behavior in DistilBERT when using "inputs_embeds"
Fixes #21089

* fix failing test

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

* batch feature extractor

* make style

* [flax] adding support for batch norm layers

* fixing bugs related to pt+flax integration

* cleanup, batchnorm support in sharded pt to flax

* support for batchnorm tests in pt+flax integration

* simplifying checking batch norm layer

* fix: Change is_last chunk calc and add conditional break

* format fix

* account for 0 and full stride_rights, add comment

* add new test

* make style

* update slow whisper asr test timestamps

* use nested_simplify on output and round timestamp to hundreths place

* Removed useless check for backend

* fix style check for graphormer

* Reverted change and corrected requires_backend for cython

* code qual

* [deepspeed tests] fix issues introduced by #21700

* fix

* fix

* troubleshooting guide: added an error description for missing auto-mapping

* minor polishing

* changed the example

* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

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

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Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Ran Black formatting

* Added imports and reformatted

* Update src/transformers/models/encoder_decoder/modeling_tf_encoder_decoder.py

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Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>

* fix bug

* forward contrib credits from discussions

* change logic

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

* Update expect output values - as Hub repo. files are updated

* Update expect output values - as librosa is from 0.9.2 to 0.10.0 on CI docker

* fix

* update one more

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

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

* Add subfolder support

* Add kwarg docstring

* formatting fix

* Add test

added Open in Colab to task guides

* Stop doing dict-things to non-dict inputs

* Add a debug check

* Add a debug check

* Remove debug checks, looks good now!

* make fixup

* [SpeechT5HifiGan] Handle batched inputs

* fix docstring

* rebase and new ruff style