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

* Add decorator for flaky tests

* Fix up

* Disambiguate test for required_input in tokenization base file.

* Add test for size

* Add templates for gpt-sw3

* Add templates for gpt-sw3

* Added sentencepiece tokenizer

* intermediate commit with many changes

* fixed conflicts

* Init commit for tokenization port

* Tokenization progress

* Remove fast tokenizer

* Clean up and rename spm.model -> spiece.model

* Remove TF -> PT conversion script template, Clean up Megatron -> PT script

* Optimize encode & decode performance

* added new attention

* added new attention

* attention for gpt-sw3 working

* attention good

* Cache is now working

* fixed attention mask so that it works with causal attention

* fixed badbmm bug for cpu and caching

* updated config with correct parameters

* Refactor and leave optimizations as separate functions to avoid breaking expected functionality

* Fix special tokens mapping for both tokenizers

* cleaning up of code and comments

* HF compatible attention outputs

* Tokenizer now passing tests, add documentation

* Update documentation

* reverted back to base implementation after checking that it is identical to pretrained model

* updated gpt-sw3 config

* updated conversion script

* aligned parameters with gpt-sw3 config

* changed default scale_attn_by_inverse_layer_idx to true

* removed flag from conversion script

* added temporary model path

* reverted back to functioning convert script

* small changes to default config

* updated tests for gpt-sw3

* make style, make quality, minor cleanup

* Change local paths to testing online repository

* Change name: GptSw3 -> GPTSw3

* Remove GPTSw3TokenizerFast references

* Use official model repository and add more model sizes

* Added reference to 6.7b model

* Add GPTSw3DoubleHeadsModel to IGNORE_NON_AUTO_CONFIGURED, like GPT2DoubleHeadsModel

* Remove pointers to non-existing TFGPTSw3

* Add GPTSw3 to docs/_toctree.yml

* Remove TF artifacts from GPTSw3 in __init__ files

* Update README:s with 'make fix-copies'

* Add 20b model to archive list

* Add documentation for GPT-Sw3

* Fix typo in documentation for GPT-Sw3

* Do 'make fix-copies' again after having updated docs

* Fix some typos in docs

* Update src/transformers/models/gpt_sw3/configuration_gpt_sw3.py
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* Update src/transformers/models/gpt_sw3/configuration_gpt_sw3.py
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* Update src/transformers/models/gpt_sw3/__init__.py
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* Update src/transformers/models/gpt_sw3/__init__.py
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* Update src/transformers/models/gpt_sw3/convert_megatron_to_pytorch.py
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* Update src/transformers/models/gpt_sw3/modeling_gpt_sw3.py
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* Update tests/models/gpt_sw3/test_tokenization_gpt_sw3.py
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* Update src/transformers/models/gpt_sw3/modeling_gpt_sw3.py
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* Update src/transformers/models/gpt_sw3/modeling_gpt_sw3.py
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* Resolve comments from PR feedback

* Resolve more comments from PR feedback, also set use_cache=True in convert script

* Add '# Copied from' comments for GPTSw3 modeling

* Set 'is_parallelizable = False'

* Remove '# Copied from' where code was modified and add 'with x->y' when appropriate

* Remove parallelize in mdx

* make style, make quality

* Update GPTSw3Config default values and corresponding documentation

* Update src/transformers/models/gpt_sw3/tokenization_gpt_sw3.py
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* Update src/transformers/models/gpt_sw3/__init__.py
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* Clean up and protect GPTSw3Tokenizer imports with is_sentencepiece_available

* Make style, make quality

* Add dummy object for GPTSw3Tokenizer via 'make fix-copies'

* make fix-copies

* Remove GPTSw3 modeling classes

* make style, make quality

* Add GPTSw3 auto-mappings for other GPT2 heads

* Update docs/source/en/model_doc/gpt-sw3.mdx
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* Update src/transformers/models/gpt_sw3/convert_megatron_to_pytorch.py
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* Update src/transformers/models/gpt_sw3/tokenization_gpt_sw3.py
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* Remove old TODO-comment

* Add example usage to GPTSw3Tokenizer docstring

* make style, make quality

* Add implementation details and example usage to gpt-sw3.mdx
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* Add require_vision decorator

* Fixup

* Use requires_backends

* Add requires_backend to utils functions

* clarify docstring

* make style

* Convert tokenizer outputs for Keras in doc example

* Das deutsche Beispiel auch korrigieren

* Create and translate to Spanish debugging.mdx

* solved typo error in a header

* Update debugging.mdx

* Update debugging.mdx

* Update docs/source/es/debugging.mdx
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* Update docs/source/es/debugging.mdx
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* Update docs/source/es/debugging.mdx
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* Update docs/source/es/debugging.mdx
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* Update docs/source/es/debugging.mdx
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* Update _toctree.yml
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* Initial commit

* Add type hints for two major classes

* Run make fixup

* Fix output type for Whisper

* Run isort to fix imports

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

* ✨

 add accelerate support for LongT5 models
Signed-off-by: peter szemraj <peterszemraj@gmail.com>

* fix `accelerate` tests

* Trigger CI test
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* Fix minor typo in question_answering.mdx

* Fixes minor typo in the english version of tasks/asr.mdx

* Update _toctree.yml

* Translate add_new_pipeline.mdx into Spanish

* Fixes some typos in the English version of add_new_pipeline.mdx

* Translate asr.mdx into Spanish

* Fixes small typos in add_new_pipeline.mdx

* Update docs/source/es/add_new_pipeline.mdx

Suggestion by @osanseviero
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* Update docs/source/es/add_new_pipeline.mdx

Suggestion by @osanseviero: use "biblioteca" instead of "librería."
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* Update docs/source/es/tasks/asr.mdx

Suggestion by @osanseviero.
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* Update docs/source/es/add_new_pipeline.mdx
Co-authored-by: Omar Sanseviero <osanseviero@gmail.com>

* Update docs/source/es/add_new_pipeline.mdx

Suggestion by @osanseviero.
Co-authored-by: Omar Sanseviero <osanseviero@gmail.com>

* Update docs/source/es/add_new_pipeline.mdx

Suggestion by @osanseviero.
Co-authored-by: Omar Sanseviero <osanseviero@gmail.com>

* Update docs/source/es/add_new_pipeline.mdx
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* Update docs/source/es/tasks/asr.mdx
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* Update docs/source/es/tasks/asr.mdx
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* Update docs/source/es/tasks/asr.mdx
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* Update asr.mdx
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* Fix rendering issue in quicktour

* Separate in two blocks

* fix last slow test

* revert deletion

* Update src/transformers/models/vit_hybrid/modeling_vit_hybrid.py

* Replace FE references with IPs

* Update processor tests

* Update src/transformers/models/clip/processing_clip.py
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* Update src/transformers/models/clip/processing_clip.py
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* Update warning messages v4.27 -> v5

* Fixup

* Update Chinese CLIP processor

* Add feature_extractor property

* Add attributes

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

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

* Change transformers.onnx to use optimum.exporters.onnx

* Update doc

* Remove print

* Fix transformers.onnx cli

* Update documentation

* Update documentation

* Small fixes

* Fix log message

* Apply suggestions

* Update src/transformers/onnx/__main__.py
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* Apply suggestions

* Add missing line break

* Ran make fix-copies

* Update src/transformers/onnx/__main__.py
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* Update src/transformers/onnx/__main__.py
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* Improve ResNet backbone

* Improve Bit backbone

* Improve docstrings

* Fix default stage

* Apply suggestions from code review
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* 🚧 wip video classification pipeline

* 🚧 wip - add is_decord_available check

* 🐛 add missing import

* ✅ add tests

* 🔧 add decord to setup extras

* 🚧 add is_decord_available

* ✨ add video-classification pipeline

* 📝 add video classification pipe to docs

* 🐛 add missing VideoClassificationPipeline import

* 📌 add decord install in test runner

* ✅ fix url inputs to video-classification pipeline

* ✨ updates from review

* 📝 add video cls pipeline to docs

* 📝 add docstring

* 🔥 remove unused import

* 🔥 remove some code

* 📝 docfix

* Add deprecation warning when image FE instantiated

* Update src/transformers/models/beit/feature_extraction_beit.py
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* Update v2.7 -> v5 and add for new IPs

* Add message to Chinese CLIP
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Create test_tokenization_led.py

* Update test_tokenization_led.py

* Update test_tokenization_led.py

* Update test_tokenization_led.py

* Update test_tokenization_led.py

* Update test_tokenization_led.py

* Update test_tokenization_led.py

* Update test_tokenization_led.py

* Update test_tokenization_led.py

* fix donut image processor

* Update test values

* Apply lower bound on resizing size

* Add in missing size param

* Resolve resize channel_dimension bug

* Update src/transformers/image_transforms.py

* fix 1

* fix 2

* fix 3

* fix 4
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* fix failing `accelerate` tests

* make fixup

* smaller values

* even lower

* Migrate torchdynamo to torch.compile

* Add docstring and generic option

* Properly use the function...

* Reorg args

Bumps [certifi](https://github.com/certifi/python-certifi) from 2020.6.20 to 2022.12.7.
- [Release notes](https://github.com/certifi/python-certifi/releases)
- [Commits](https://github.com/certifi/python-certifi/compare/2020.06.20...2022.12.07

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---
updated-dependencies:
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  dependency-type: direct:production
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Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.10.8 to 2022.12.7.
- [Release notes](https://github.com/certifi/python-certifi/releases)
- [Commits](https://github.com/certifi/python-certifi/compare/2021.10.08...2022.12.07

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---
updated-dependencies:
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  dependency-type: direct:production
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Bumps [certifi](https://github.com/certifi/python-certifi) from 2020.6.20 to 2022.12.7.
- [Release notes](https://github.com/certifi/python-certifi/releases)
- [Commits](https://github.com/certifi/python-certifi/compare/2020.06.20...2022.12.07

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---
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* add BackboneBaseModel

* add BackboneBaseModel

* Rename to BackboneMixin

* remove nn.Module
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* Update the list of contributors to reflect current organization

* Proper indent