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Make Format

update expected values for xglm
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* 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

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

Four parameters in `LayoutLM` config were missing definitions, Added their definition (copied from BertConfig).

Step 1 - Change use_cache fix

Co-authored-by: saswatmeher <saswatmeher@cse.iitb.ac.in>

Disable DDp for neuron
Co-authored-by: EC2 Default User <ec2-user@ip-172-31-42-72.us-west-2.compute.internal>

* fix `get_proposal_pos_embed`

* fix order

* style

* zero shot simplify test

* add approximate values for zero shot audio classification

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

* Fixed gradient_checkpointing/use_cache bug in blenderbot

* Update modeling_blenderbot.py

* Added back if statement

* Formatted using black

Fix feature normalization in WhisperFeatureExtractor

* fix pipeline

* fix feature_extraction clap

* you can now batch the `is_longer` attribute

* add tests

* fixup

* add expected scores

* comment on is_longert

* add doc and readme

* add model docs

* update toctree and fix copies

* update

* update doc file

* fix

* add FLAN-UL2 to configuration mapping

* fixup

* Apply suggestions from code review

* more clarification

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

* Fix wrong documentation about DataCollator padding defaults

* Fix styling

* Update utils/check_repo.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update utils/check_repo.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

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Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* fix

* fix

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

* feat: filter try/except

* Update src/transformers/dynamic_module_utils.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

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

* fix auto 2

* fix auto 2

* fix task guide issue

* fix

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

upgrade to large VM
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

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

* faster forward following what is done for images

* add missing licence

* rework is_pipeline_test

* bring back 3 tests

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

* intial test of inputs

* added test for generation

* remove asserts

* fixed test

* Update tests/models/time_series_transformer/test_modeling_time_series_transformer.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

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Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Make ZeroShotImageClassificationPipeline faster

The pipeline makes separate calls to model for each candidate label.
This commit combines all labels into one call.
Original code takes more that 60 seconds to process one image and 1000
candidate labels. Updated code takes less than 2 seconds.

* implement batching

* code formatting

* Creating an even faster zero-shot-image-classifiction.

Unfortunately super tailored towards CLIP.
Co-Authored-By: Yessen Kanapin <yessen@deepinfra.com>

* Quality.

* Cleanup.

* Order different on the CI it seems.

* Cleanup.

* Quality.

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Co-authored-by: Yessen Kanapin <yessen@deepinfra.com>

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

* fix

* add to tests

* style and quality

* add missing

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

* [WIP] whisper refacto to support language output.

* Handling merges.

* A bit more cleanup and comments.

* Many improvements.

Lots of details everywhere.

* Cleanup old code and tests.

* Handle lone timestamp tokens (just recover when something bad happens).

* Adding return_language example.

* No ffmpeg.

* Hmm.

* Some corrections.

* Both fast and slow.

* New black.

* Update src/transformers/models/whisper/tokenization_whisper.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/whisper/tokenization_whisper.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Remove print.

* Undoing tests modifications.

* Smaller test modifications.

* Rename.

* Remove maxDiff.

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Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Make schedulers picklable by making lr_lambda fns global

* add unused _get_constant_schedule_lr_lambda arg

* remove unneeded _get_constant_schedule_lr_lamda

* add test

* make style

* rebase, remove torch dep, put lambda back

* repo-consistency and style