GitLab

* fix

* fix

* fix

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

* check if eval dataset is dict

* formatting

* fix blip output name

* add property

* oops

* fix failing test

* fix dtype issue

* revert `.float()`

* fix copies

* First draft

* More improvements

* Convert patch embedding layer

* Convert all weights

* Make conversion work

* Improve conversion script

* Fix style

* Make all tests pass

* Add image processor to auto mapping

* Add swiglu ffn

* Add image processor to conversion script

* Fix conversion of giant model

* Fix documentation

* Fix style

* Fix tests

* Address comments

* Address more comments

* Remove unused arguments

* Remove more arguments

* Rename parameters

* Include mask token

* Address comments

* Add docstring

* Transfer checkpoints

* Empty commit

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

* Add Ascend NPU accelerator support

* fix style warining

* fix

* fix

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

* clarify 4bit docs

* Apply suggestions from code review
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

---------
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

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

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

* deprecate no_cuda

* style

* remove doc

* remove doc 2

* fix style

* remove `xpu_backend` training argument

* always call `contextlib.nullcontext()` since transformers updated to
python3.8

* these codes will not be executed

* fix

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

* Changed AssertionError to ValueError

try-except block was using AssesrtionError in except statement while the expected error is value error. Fixed the same.

* Changed AssertionError to ValueError

try-except block was using AssesrtionError in except statement while the expected error is ValueError. Fixed the same.
Note: While raising the ValueError args are passed to it, but later added again while handling the error (See the code snippet)

* Changed AssertionError to ValueError

try-except block was using AssesrtionError in except statement while the expected error is ValueError. Fixed the same.
Note: While raising the ValueError args are passed to it, but later added again while handling the error (See the code snippet)

* Changed AssertionError to ValueError

* Changed AssertionError to ValueError

* Changed AssertionError to ValueError

* Changed AssertionError to ValueError

* Changed AssertionError to ValueError

* Changed assert statement to ValueError based

* Changed assert statement to ValueError based

* Changed assert statement to ValueError based

* Changed incorrect error handling from AssertionError to ValueError

* Undoed change from AssertionError to ValueError as it is not needed

* Reverted back to using AssertionError as it is not necessary to make it into ValueError

* Fixed erraneous comparision

Changed == to !=

* Fixed erraneous comparision

Changed == to !=

* formatted the code

* Ran make fix-copies

* Fix how token is passed along in from_pretrained for tokenizers

* It's actually not necessary

* first raw version of the bark integration

* working code on small models with single run

* add converting script from suno weights 2 hf

* many changes

* correct past_kv output

* working implementation for inference

* update the converting script according to the architecture changes

* add a working end-to-end inference code

* remove some comments and make small changes

* remove unecessary comment

* add docstrings and ensure no unecessary intermediary output during audio generation

* remove done TODOs

* make style + add config docstrings

* modification for batch inference support on the whole model

* add details to .generation_audio method

* add copyright

* convert EncodecModel from original library to transformers implementation

* add two class in order to facilitate model and sub-models loading from the hub

* add support of loading the whole model

* add BarkProcessor

* correct modeling according to processor output

* Add proper __init__ and auto support

* Add up-to-date copyright/license message

* add relative import instead of absolute

* cleaner head_dim computation

* small comment removal or changes

* more verbose LayerNorm init method

* specify eps for clearer comprehension

* more verbose variable naming in the MLP module

* remove unecessary BarkBlock parameter

* clearer code in the forward pass of the BarkBlock

* remove _initialize_modules method for cleaner code

* Remove unnecessary methods from sub-models

* move code to remove unnecessary function

* rename a variable for clarity and change an assert

* move code and change variable name for clarity

* remove unnecessary asserts

* correct small bug

* correct a comment

* change variable names for clarity

* remove asserts

* change import from absolute to relative

* correct small error due to comma missing + correct import

* Add attribute Bark config

* add first version of tests

* update attention_map

* add tie_weights and resize_token_embeddings for fineModel

* correct getting attention_mask in generate_text_semantic

* remove Bark inference trick

* leave more choices in barkProcessor

* remove _no_split_modules

* fixe error in forward of block and introduce clearer notations

* correct converting script with last changes

* make style + add draft bark.mdx

* correct BarkModelTest::test_generate_text_semantic

* add Bark in main README

* add dummy_pt_objects for Bark

* add missing models in the main init

* correct test_decoder_model_past_with_large_inputs

* disable torchscript test

* change docstring of BarkProcessor

* Add test_processor_bark

* make style

* correct copyrights

* add bark.mdx + make style, quality and consistency

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

* Remove unnecessary test method

* simply logic of a test

* Only check first ids for slow audio generation

* split full end-to-end generation tests

* remove unneccessary comment

* change submodel names for clearer naming

* remove ModuleDict from modeling_bark

* combine two if statements

* ensure that an edge misued won't happen

* modify variable name

* move code snippet to the right place (coarse instead of semantic)

* change BarkSemanticModule -> BarkSemanticModel

* align BarkProcessor with transformers paradigm

* correct BarkProcessor tests with last commit changes

* change _validate_voice_preset to an instance method instead of a class method

* tie_weights already called with post_init

* add codec_model config to configuration

* update bark modeling tests with recent BarkProcessor changes

* remove SubModelPretrainedModel + change speakers embeddings prompt type in BarkModel

* change absolute imports to relative

* remove TODO

* change docstrings

* add examples to docs and docstrings

* make style

* uses BatchFeature in BarkProcessor insteads of dict

* continue improving docstrings and docs + make style

* correct docstrings examples

* more comprehensible speaker_embeddings load/Save

* rename speaker_embeddings_dict -> speaker_embeddings

* correct bark.mdx + add bark to documentation_tests

* correct docstrings configuration_bark

* integrate last nit suggestions

* integrate BarkGeneration configs

* make style

* remove bark tests from documentation_tests.txt because timeout - tested manually

* add proper generation config initialization

* small bark.mdx documentation changes

* rename bark.mdx -> bark.md

* add torch.no_grad behind BarkModel.generate_audio()

* replace assert by ValueError in convert_suno_to_hf.py

* integrate a series of short comments from reviewer

* move SemanticLogitsProcessors and remove .detach() from Bark docs and docstrings

* actually remove SemanticLogitsProcessor from modeling_bark.oy

* BarkProcessor returns a single output instead of tuple + correct docstrings

* make style + correct bug

* add initializer_range to BarkConfig + correct slow modeling tests

* add .clone() to history_prompt.coarse_prompt to avoid modifying input array

* Making sure no extra "`" are present

* remove extra characters in modeling_bark.py

* Correct output if history_prompt is None

* remove TODOs

* remove ravel comment

* completing generation_configuration_bark.py docstrings

* change docstrings - number of audio codebooks instead of Encodec codebooks

* change 'bias' docstrings in configuration_bark.py

* format code

* rename BarkModel.generate_audio -> BarkModel.generate_speech

* modify AutoConfig instead of EncodecConfig in BarkConfig

* correct AutoConfig wrong init

* refactor BarkModel and sub-models generate_coarse, generate_fine, generate_text_semantic

* remove SemanticLogitsProcessor and replace it with SuppressTokensLogitsProcessor

* move nb_codebook related config arguments to BarkFineConfig

* rename bark.mdx -> bark.md

* correcting BarkModelConfig from_pretrained + remove keys_to_ignore

* correct bark.md with correct hub path

* correct code bug in bark.md

* correct list tokens_to_suppress

* modify Processor to load nested speaker embeddings in a safer way

* correct batch sampling in BarkFineModel.generate_fine

* Apply suggestions from code review

Small docstrings correction and code improvements
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* give more details about num_layers in docstrings

* correct indentation mistake

* correct submodelconfig order of docstring variables

* put audio models in alphabetical order in utils/check_repo.my

* remove useless line from test_modeling_bark.py

* makes BarkCoarseModelTest inherits from (ModelTesterMixin, GenerationTesterMixin, unittest.TestCase) instead of BarkSemanticModelTest

* make a Tester class for each sub-model instead of inheriting

* add test_resize_embeddings=True for Bark sub-models

* add Copied from transformers.models.gpt_neo.modeling_gpt_neo.GPTNeoSelfAttention._split_heads

* remove 'Copied fom Bark' comment

* remove unneccessary comment

* change np.min -> min in modeling_bark.py

* refactored all custom layers to have Bark prefix

* add attention_mask as an argument of generate_text_semantic

* refactor sub-models start docstrings to have more precise config class definition

* move _tied_weights_keys overriding

* add docstrings to generate_xxx in modeling_bark.py

* add loading whole BarkModel to convert_suno_to_hf

* refactor attribute and variable names

* make style convert_suno

* update bark checkpoints

* remove never entered if statement

* move bark_modeling docstrings after BarkPretrainedModel class definition

* refactor modeling_bark.py: kv -> key_values

* small nits - code refactoring and removing unecessary lines from _init_weights

* nits - replace inplace method by variable assigning

* remove *optional* when necessary

* remove some lines in generate_speech

* add default value for optional parameter

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

* correct usage after refactoring

* refactor Bark's generate_xxx -> generate and modify docstrings and tests accordingly

* update docstrings python in configuration_bark.py

* add bark files in utils/documentation_test.txt

* correct docstrings python snippet

* add the ability to use parameters in the form of e.g coarse_temperature

* add semantic_max_new_tokens in python snippet in docstrings for quicker generation

* Reformate sub-models kwargs in BakModel.generate
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* correct kwargs in BarkModel.generate

* correct attention_mask kwarg in BarkModel.generate

* add tests for sub-models args in BarkModel.generate and correct BarkFineModel.test_generate_fp16

* enrich BarkModel.generate docstrings with a description of how to use the kwargs

---------
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Add TAPEX to the list of deprecated models

* Add check

* Fix typo

* Fix import path for Van conversion

fix MRA in READMEs

* Fix comments

* Fix comments

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

* add multimodal heading and docqa

* fix sentence

* task_summary data type = modality clarification

* change the multimodal example to a smaller model

Bump cryptography from 41.0.0 to 41.0.2 in /examples/research_projects/decision_transformer (#24833)

Bump cryptography in /examples/research_projects/decision_transformer

Bumps [cryptography](https://github.com/pyca/cryptography) from 41.0.0 to 41.0.2.
- [Changelog](https://github.com/pyca/cryptography/blob/main/CHANGELOG.rst)
- [Commits](https://github.com/pyca/cryptography/compare/41.0.0...41.0.2

)

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

1

* docs: ko: custom_tools.mdx

* feat: deepl draft

* fix: change .mdx to .md

* fix: resolve suggestions

* fix: resolve suggestions

* deprecate fairscale's ShardedDDP

* fix code style

* roll back

* deprecate the `sharded_ddp` training argument

---------
Co-authored-by: jihuazhong <jihuazhong1@huawei.com>

* [🔗

 Docs] Fixed Incorrect Migration Link

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

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

* First models

* Conditional DETR

* Treat DETR models, skip others

* Skip LayoutLMv2 as well

* Fix last tests

Fixing double `use_auth_token.pop` (preventing private models from
being visible).

Should fix: https://github.com/huggingface/transformers/issues/14334#issuecomment-1634527833

Repro: Have a private repo, with `vocab.json` (spread out files for the
tokenizer) and use `AutoTokenizer.from_pretrained(...,
use_auth_token="token")`.

* Copy code when using local trust remote code

* Remote upgrade strategy

* Revert "Remote upgrade strategy"

This reverts commit 4f0392f5d747bcbbcf7211ef9f9b555a86778297.

* Run hub tests

* [all-test] Run tests please!

* [all-test] Add vision dep for hub tests

* Fix tests

Switching _BaseAutoModelClass from_pretrained and from_config to use the register classmethod that it defines rather than using the _LazyAutoMapping register method directly. This makes use of the additional consistency check within the base model's register.

* Remove Falcon docs for the release until TGI is ready

* Update toctree

* Add accelerate version in transformers-cli env

* Add accelerate config