* add a warning=True tip to the Llama2 doc
* code llama needs a tip too
* doc nit
* build PR doc
* doc nits
Co-authored-by: Lysandre <lysandre@huggingface.co>
---------
Co-authored-by: Lysandre <lysandre@huggingface.co>
* add all
* Revert "Delete .github directory"
This reverts commit 9b0ff7b052e2b20b629a26fb13606b78a42944d1.
* make conversion script backward compatible
* fixup
* more styling
* copy to llama changes
* fix repo consistency
* nits
* document correct classes
* updates
* more fixes
* nits
* update auto mappings
* add readmes
* smallupdates
* llama-code replace with llama_code
* make fixup
* updates to the testsing suite
* fix fast nits
* more small fixes
* fix decode
* fix template processing
* properly reset the normalizer
* nits processor
* tokenization tests pass
* styling
* last tests
* additional nits
* one test is left
* nits
Co-authored-by faabian <faabian@users.noreply.github.com>
* update failing test
* fixup
* remove decode infilling users should handle it on their onw after generation, padding can be a problem
* update
* make test slow and more meaningfull
* fixup
* doc update
* fixup
* Apply suggestions from code review
* add kwargs doc
* tokenizer requires `requires_backend`
* type requires_backends
* CodeLlama instead of LlamaCode
* more name cahnges
* nits
* make doctests happy
* small pipeline nits
* last nit
* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* update
* add codellama to toctree
---------
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Add FlaxClipTextModelWithProjection
This is necessary to support the Flax port of Stable Diffusion XL: fb6d705fb5/text_encoder_2/config.json (L3)
Co-authored-by: Martin Müller <martin.muller.me@gmail.com>
Co-authored-by: Juan Acevedo <juancevedo@gmail.com>
* Use FlaxCLIPTextModelOutput
* make fix-copies again
* Apply suggestions from code review
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
* Use `return_dict` for consistency with other uses.
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
* Fix docstring example.
* Add new model to FlaxCLIPTextModelTest
* Add to IGNORE_NON_AUTO_CONFIGURED list
* Fix naming convention.
---------
Co-authored-by: Martin Müller <martin.muller.me@gmail.com>
Co-authored-by: Juan Acevedo <juancevedo@gmail.com>
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
* docs: feat: model resources for llama2
Co-authored-by: Woojun Jung <hello_984@naver.com>
* fix: add description for dpo and rearrange posts
* docs: feat: add llama2 notebook resources
* style: one liners for each resource
Co-Authored-By: Woojun Jung <46880056+jungnerd@users.noreply.github.com>
Co-Authored-By: Kihoon Son <75935546+kihoon71@users.noreply.github.com>
* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Fix typo
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
---------
Co-authored-by: Woojun Jung <hello_984@naver.com>
Co-authored-by: Woojun Jung <46880056+jungnerd@users.noreply.github.com>
Co-authored-by: Kihoon Son <75935546+kihoon71@users.noreply.github.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Adds `TRANSFORMERS_TEST_BACKEND`
Allows specifying arbitrary additional import following first `import torch`.
This is useful for some custom backends, that will require additional imports to trigger backend registration with upstream torch.
See https://github.com/pytorch/benchmark/pull/1805 for a similar change in `torchbench`.
* Update src/transformers/testing_utils.py
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>
* Adds real backend example to documentation
---------
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>
* init commit
* config updated also some modeling
* Processor and Model config combined
* extraction pipeline(upto before spectogram & mel_conditioner) added but not properly tested
* model loading successful!
* feature extractor done!
* FE can now be called from HF
* postprocessing added in fe file
* same as prev commit
* Pop2PianoConfig doc done
* cfg docs slightly changed
* fe docs done
* batched
* batched working!
* temp
* v1
* checking
* trying to go with generate
* with generate and model tests passed
* before rebasing
* .
* tests done docs done remaining others & nits
* nits
* LogMelSpectogram shifted to FeatureExtractor
* is_tf rmeoved from pop2piano/init
* import solved
* tokenization tests added
* minor fixed regarding modeling_pop2piano
* tokenizer changed to only return midi_object and other changes
* Updated paper abstract(Camera-ready version) (#2)
* more comments and nits
* ruff changes
* code quality fix
* sg comments
* t5 change added and rebased
* comments except batching
* batching done
* comments
* small doc fix
* example removed from modeling
* ckpt
* forward it compatible with fe and generation done
* comments
* comments
* code-quality fix(maybe)
* ckpts changed
* doc file changed from mdx to md
* test fixes
* tokenizer test fix
* changes
* nits done main changes remaining
* code modified
* Pop2PianoProcessor added with tests
* other comments
* added Pop2PianoProcessor to dummy_objects
* added require_onnx to modeling file
* changes
* update .md file
* remove extra line in index.md
* back to the main index
* added pop2piano to index
* Added tokenizer.__call__ with valid args and batch_decode and aligned the processor part too
* changes
* added return types to 2 tokenizer methods
* the PR build test might work now
* added backends
* PR build fix
* vocab added
* comments
* refactored vocab into 1 file
* added conversion script
* comments
* essentia version changed in .md
* comments
* more tokenizer tests added
* minor fix
* tests extended for outputs acc check
* small fix
---------
Co-authored-by: Jongho Choi <sweetcocoa@snu.ac.kr>
* a draft version
* v2 integration
* fix
* make it more generic and works for IA3
* add set adapter and multiple adapters support
* fixup
* adapt a bit
* oops
* oops
* oops
* adapt more
* fix
* add more refactor
* now works with model class
* change it to instance method as it causes issues with `jit`.
* add CR
* change method name
* add `add_adapter` method
* clean up
* Update src/transformers/adapters/peft_mixin.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* add moe utils
* fixup
* Update src/transformers/adapters/peft_mixin.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* adapt
* oops
* fixup
* add is_peft_available
* remove `requires_backend`
* trainer compatibility
* fixup + docstring
* more details
* trigger CI
* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/modeling_utils.py
* fixup + is_main_process
* added `save_peft_format` in save_pretrained
* up
* fix nits here and there
* nits here and there.
* docs
* revert `encoding="utf-8"`
* comment
* added slow tests before the PEFT release.
* fixup and nits
* let's be on the safe zone
* added more comments
* v1 docs
* add remaining docs
* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* move to `lib_integrations`
* fixup
* this time fixup
* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* address final comments
* refactor to use `token`
* add PEFT to DockerFile for slow tests.
* added pipeline support.
---------
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* added more details about flash attention
* correct and add more details
* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* few modifs
* more details
* up
* Apply suggestions from code review
Co-authored-by: fxmarty <9808326+fxmarty@users.noreply.github.com>
* adapt from suggestion
* Apply suggestions from code review
Co-authored-by: fxmarty <9808326+fxmarty@users.noreply.github.com>
* trigger CI
* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* fix nits and copies
* add new section
---------
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: fxmarty <9808326+fxmarty@users.noreply.github.com>
* Suggestions on Pipeline_webserver
docs: reorder the warning tip for pseudo-code
Co-Authored-By: Wonhyeong Seo <wonhseo@kakao.com>
* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/ko/pipeline_webserver.md
Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>
---------
Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* add AutoModelForTextToSpeech class
* add TTS pipeline and tessting
* add docstrings to text_to_speech pipeline
* fix torch dependency
* corrector 'processor is None' case in Pipeline
* correct repo id
* modify text-to-speech -> text-to-audio
* remove processor
* rename text_to_speech pipelines files to text_audio
* add textToWaveform and textToSpectrogram instead of textToAudio classes
* update TTS pipeline to the bare minimum
* update tests TTS pipeline
* make style and erase useless import torch in TTS pipeline tests
* modify how to check if generate or forward in TTS pipeline
* remove unnecessary extra new lines
* Apply suggestions from code review
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
* refactor input_texts -> text_inputs
* correct docstrings of TTS.__call__
* correct the shape of generated waveform
* take care of Bark tokenizer special case
* correct run_pipeline_test TTS
* make style
* update TTS docstrings
* address Sylvain nit refactors
* make style
* refactor into one liners
* correct squeeze
* correct way to test if forward or generate
* Update output audio waveform shape
* make style
* correct import
* modify how the TTS pipeline test if a model can generate
* align shape output of TTS pipeline with consistent shape
---------
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
* Adds `TRANSFORMERS_TEST_DEVICE`
Mirrors the same API in the diffusers library. Useful in transformers
too.
* replace backend checking with trying `torch.device`
* Adds better error message for unknown test devices
* `make style`
* adds documentation showing `TRANSFORMERS_TEST_DEVICE` usage.
* added benchmarks for compile
* Update docs/source/en/perf_torch_compile.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/perf_torch_compile.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/perf_torch_compile.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/perf_torch_compile.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/perf_torch_compile.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/perf_torch_compile.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/perf_torch_compile.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/perf_torch_compile.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/perf_torch_compile.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* Update docs/source/en/perf_torch_compile.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update docs/source/en/perf_torch_compile.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* added more models
* added more models fr
* added visualizations
* minor fix
* Update docs/source/en/perf_torch_compile.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/perf_torch_compile.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update docs/source/en/perf_torch_compile.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Added links to models and put charts side by side
* Added batch comparisons
* Added more comparisons
* Fix table
* Added link to wheel
* Update perf_torch_compile.md
---------
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* clearer explanation on how things works under the hood.
* Update docs/source/en/main_classes/quantization.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/main_classes/quantization.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* add `load_in_4bit` in `from_pretrained`
---------
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Initial addition of t5forsequenceclassification
* Adding imports and adding tests
* Formatting
* Running make fix-copies
* Adding mt5forseq
* Formatting
* run make fix-copies
* Adding to docs
* Add model_parallel
* Fix bug
* Fix
* Remove TODO
* Fixing tests for T5ForSequenceClassification
* Undo changes to dependency_versions_table.py
* Change classification head to work with T5Config directly
* Change seq length to let tests pass
* PR comments for formatting
* Formatting
* Initial addition of UMT5ForSequenceClassification
* Adding to inits and formatting
* run make fix-copies
* Add doc for UMT5ForSeqClass
* Update UMT5 config
* Fix docs
* Skip torch fx test for SequenceClassification
* Formatting
* Add skip to UMT5 tests as well
* Fix umt5 tests
* Running make fix-copies
* PR comments
* Fix for change to sentence_representation
* Rename seq_len to hidden_size since that's what it is
* Use base_model to follow format of the rest of the library
* Update docs
* Extract the decoder_input_ids changes and make one liner
* Make one-liner
* pull and push updates
* add docs
* fix modeling
* Add and run test
* make copies
* add task
* fix tests and fix small issues
* Checks on a Pull Request
* fix docs
* add desc pvt.md
* first pass at the single gpu doc
* overview: improved clarity and navigation
* WIP
* updated intro and deepspeed sections
* improved torch.compile section
* more improvements
* minor improvements
* make style
* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* feedback addressed
* mdx -> md
* link fix
* feedback addressed
---------
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Resolve typo in check_repo.py
* Specify encoding when opening modeling files
* Deprecate the OpenLlama architecture
* Add disclaimer pointing to Llama
I'm open to different wordings here
* Match the capitalisation of LLaMA
* Update supported Python and PyTorch versions in readme
* Update Python, etc. versions in non-English readmes
These were more out of date than in the English readme. This
updates all the versions the readmes claim the repository is tested
with to the same versions stated in the English readme.
Those versions are current at least in the case of the Python and
PyTorch versions (and less out of date for the others).
* Propagate trailing whitespace fix to model list
This runs "make fix-copies". The only change is the removal of
whitespace. No actual information or wording is changed.
* Update tested TensorFlow to 2.6 in all readmes
Per pinning in setup.py
Unlike Python and PyTorch, the minimum supported TensorFlow version
has not very recently changed, but old versions were listed in all
READMEs.
* add llama
* add other readmes
* update padding id in readme
* add link to paper
* fix paths and tokenizer
* more nits
* styling
* fit operation in 2 lines when possible
* nits
* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* add form
* update reademe
* update readme, we don't have a default pad token
* update test and tokenization
* LLaMA instead of Llama
* nits
* add expected text
* add greeedy output
* styling
* Update src/transformers/models/llama/modeling_llama.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* sequential device map
* skip relevant changes
---------
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* 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>
* Initial commit
* Update src/transformers/models/falcon/configuration_falcon.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/models/falcon/configuration_falcon.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Cleanup config docstring
* Update src/transformers/models/falcon/configuration_falcon.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Convert to relative imports
* Remove torch < 1.8 warning
* Restructure cos_sin header
* qkv -> query, key, value
* Refactor attention calculation
* Add a couple of config variables to account for the different checkpoints
* Successful merging of the code paths!
* Fix misplaced line in the non-parallel attention path
* Update config and tests
* Add a pad_token_id when testing
* Support output_attentions when alibi is None
* make fixup
* Skip KV cache shape test
* No more _keys_to_ignore_on_load_missing
* Simplify self attention a bit
* Simplify self attention a bit
* make fixup
* stash commit
* Some more attention mask updates
* Should pass all tests except assisted generation!
* Add big model generation test
* make fixup
* Add temporary workaround for test
* Test overrides for assisted generation
* Update src/transformers/models/falcon/modeling_falcon.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Update src/transformers/models/falcon/modeling_falcon.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Update src/transformers/models/falcon/modeling_falcon.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Update tests/models/falcon/test_modeling_falcon.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Test overrides for assisted generation
* Add generation demo
* Update copyright
* Make the docstring model actually small
* Add module-level docstring
* Remove all assertions
* Add copied from bloom
* Reformat the QKV layer
* Add copied from bloom
* Update src/transformers/models/falcon/modeling_falcon.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Remove unused line and reformat
* No single letter variables
* Cleanup return names
* Add copied from line
* Remove the deprecated arguments blocks
* Change the embeddings test to an alibi on/off test
* Remove position_ids from FalconForQA
* Remove old check for token type IDs
* Fix the alibi path when multi_query is False
* Update src/transformers/models/falcon/modeling_falcon.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/models/falcon/modeling_falcon.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update tests/models/falcon/test_modeling_falcon.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update config naming
* Fix typo for new_decoder_architecture
* Add some comments
* Fix docstring
* Fix docstring
* Create range in the right dtype from the start
* Review comment cleanup
* n_head_kv -> num_kv_heads
* self.alibi -> self.use_alibi
* self.num_kv -> self.num_kv_heads
* Reorder config args
* Made alibi arguments Optional
* Add all model docstrings
* Add extra checkpoints
* Add author info for Falcon
* Stop removing token_type_ids because our checkpoints shouldn't return it anymore
* Add one hopeful comment for the future
* Fix typo
* Update tests, fix cache issue for generation
* Use -1e9 instead of -inf to avoid float overflow
* Recompute the rotary embeddings much less often
* Re-enable disabled tests
* One final fix to attention mask calculation, and update tests
* Cleanup targeting falcon-40b equivalency
* Post-rebase docs update
* Update docstrings, especially in the config
* More descriptive variable names, and comments where we can't rename them
---------
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Squash 88 commits
* Use markdown
* Remove mdx files due to bad rebase
* Fix modeling files due to bad rebase
* Fix style
* Update comment
* fix
---------
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
Update outdated hyperlink hpo_train.md
Link to RayTune search space API docs was outdated - have provided correct new link for docs.
Co-authored-by: Joshua Samuel <66880119+Joshsamuel101@users.noreply.github.com>
* import torch before it is used
* style
Signed-off-by: byhsu <byhsu@linkedin.com>
---------
Signed-off-by: byhsu <byhsu@linkedin.com>
Co-authored-by: byhsu <byhsu@linkedin.com>
* Add test_backbone for convnext
* Add TimmBackbone model
* Add check for backbone type
* Tidying up - config checks
* Update convnextv2
* Tidy up
* Fix indices & clearer comment
* Exceptions for config checks
* Correclty update config for tests
* Safer imports
* Safer safer imports
* Fix where decorators go
* Update import logic and backbone tests
* More import fixes
* Fixup
* Only import all_models if torch available
* Fix kwarg updates in from_pretrained & main rebase
* Tidy up
* Add tests for AutoBackbone
* Tidy up
* Fix import error
* Fix up
* Install nattan in doc_test_job
* Revert back to setting self._out_xxx directly
* Bug fix - out_indices mapping from out_features
* Fix tests
* Dont accept output_loading_info for Timm models
* Set out_xxx and don't remap
* Use smaller checkpoint for test
* Don't remap timm indices - check out_indices based on stage names
* Skip test as it's n/a
* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Cleaner imports / spelling is hard
---------
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Add tf code for efficientformer
* Fix return dict bug - return last hidden state after last stage
* Fix corresponding return dict bug
* Override test tol
* Change default values of training to False
* Set training to default False X3
* Rm axis from ln
* Set init in dense projection
* Rm debug stuff
* Make style; all tests pass.
* Modify year to 2023
* Fix attention biases codes
* Update the shape list logic
* Add a batch norm eps config
* Remove extract comments in test files
* Add conditional attn and hidden states return for serving output
* Change channel dim checking logic
* Add exception for withteacher model in training mode
* Revert layer count for now
* Add layer count for conditional layer naming
* Transpose for conv happens only in main layer
* Make tests smaller
* Make style
* Update doc
* Rm from_pt
* Change to actual expect image class label
* Remove stray print in tests
* Update image processor test
* Remove the old serving output logic
* Make style
* Make style
* Complete test
* doc refocused on using optimum, tflite
* minor updates to fix checks
* Apply suggestions from code review
Co-authored-by: regisss <15324346+regisss@users.noreply.github.com>
* TFLite to separate page, added links
* Removed the onnx list builder
* make style
* Update docs/source/en/serialization.mdx
Co-authored-by: regisss <15324346+regisss@users.noreply.github.com>
---------
Co-authored-by: regisss <15324346+regisss@users.noreply.github.com>
* Added lion and paged optimizers and made original tests pass.
* Added tests for paged and lion optimizers.
* Added and fixed optimizer tests.
* Style and quality checks.
* Initial draft. Some tests fail.
* Fixed dtype bug.
* Fixed bug caused by torch_dtype='auto'.
* All test green for 8-bit and 4-bit layers.
* Added fix for fp32 layer norms and bf16 compute in LLaMA.
* Initial draft. Some tests fail.
* Fixed dtype bug.
* Fixed bug caused by torch_dtype='auto'.
* All test green for 8-bit and 4-bit layers.
* Added lion and paged optimizers and made original tests pass.
* Added tests for paged and lion optimizers.
* Added and fixed optimizer tests.
* Style and quality checks.
* Fixing issues for PR #23479.
* Added fix for fp32 layer norms and bf16 compute in LLaMA.
* Reverted variable name change.
* Initial draft. Some tests fail.
* Fixed dtype bug.
* Fixed bug caused by torch_dtype='auto'.
* All test green for 8-bit and 4-bit layers.
* Added lion and paged optimizers and made original tests pass.
* Added tests for paged and lion optimizers.
* Added and fixed optimizer tests.
* Style and quality checks.
* Added missing tests.
* Fixup changes.
* Added fixup changes.
* Missed some variables to rename.
* revert trainer tests
* revert test trainer
* another revert
* fix tests and safety checkers
* protect import
* simplify a bit
* Update src/transformers/trainer.py
* few fixes
* add warning
* replace with `load_in_kbit = load_in_4bit or load_in_8bit`
* fix test
* fix tests
* this time fix tests
* safety checker
* add docs
* revert torch_dtype
* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* multiple fixes
* update docs
* version checks and multiple fixes
* replace `is_loaded_in_kbit`
* replace `load_in_kbit`
* change methods names
* better checks
* oops
* oops
* address final comments
---------
Co-authored-by: younesbelkada <younesbelkada@gmail.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* First commit
* Add auto-translation with GPT-4
* make fixup
* Add a functional layernorm for TF
* Add all the auxiliary imports etc.
* Add the extra processor and tests
* rebase to main
* Add all the needed fixes to the GPT code
* make fixup
* Make convolutions channels-last so they run on CPU
* make fixup
* Fix final issues
* Fix other models affected by test change
* Clarify comment on the sparse_prompt_embeddings check
* Refactor functional_layernorm, use shape_list in place of .shape in some places
* Remove deprecated torch-alike code
* Update tests/models/sam/test_modeling_tf_sam.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update tests/models/sam/test_modeling_tf_sam.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Refactor processor with common methods and separated private methods
* make fixup
* Quietly delete the file that didn't do anything (sorry Sylvain)
* Refactor the processor tests into one file
* make fixup
* Clean up some unnecessary indirection
* Fix TF mask postprocessing
* Add more processor equivalence tests
* Refactor generate_crop_boxes to use framework-neutral np code
* Make the serving output correctly conditional
* Fix error message line length
* Use dict keys rather than indices internally in both TF and PT SAM call/forward
* Return dicts internally in the call/forward methods
* Revert changes to common tests and just override check_pt_tf_outputs
* Revert changes to other model tests
* Clarify comments for functional layernorm
* Add missing transpose from PT code
* Removed unused copied from in PT code
* Remove overrides for tests that don't exist in TF
* Fix transpose and update tests for PT and TF to check pred_masks
* Add training flag
* Update tests to use TF checkpoints
* Update index.mdx
* Add missing cross-test decorator
* Remove optional extra asterisks
* Revert return_dict changes in PT code
* Update src/transformers/models/sam/modeling_tf_sam.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Remove None return annotations on init methods
* Update tests/models/sam/test_processor_sam.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Fix input_boxes shapes
* make fixup
---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Remove nestedness in tool config
* Really do it
* Use remote tools descriptions
* Work
* Clean up eval
* Changes
* Tools
* Tools
* tool
* Fix everything
* Use last result/assign for evaluation
* Prompt
* Remove hardcoded selection
* Evaluation for chat agents
* correct some spelling
* Small fixes
* Change summarization model (#23172)
* Fix link displayed
* Update description of the tool
* Fixes in chat prompt
* Custom tools, custom prompt
* Tool clean up
* save_pretrained and push_to_hub for tool
* Fix init
* Tests
* Fix tests
* Tool save/from_hub/push_to_hub and tool->load_tool
* Clean push_to_hub and add app file
* Custom inference API for endpoints too
* Clean up
* old remote tool and new remote tool
* Make a requirements
* return_code adds tool creation
* Avoid redundancy between global variables
* Remote tools can be loaded
* Tests
* Text summarization tests
* Quality
* Properly mark tests
* Test the python interpreter
* And the CI shall be green.
* fix loading of additional tools
* Work on RemoteTool and fix tests
* General clean up
* Guard imports
* Fix tools
* docs: Fix broken link in 'How to add a model...' (#23216)
fix link
* Get default endpoint from the Hub
* Add guide
* Simplify tool config
* Docs
* Some fixes
* Docs
* Docs
* Docs
* Fix code returned by agent
* Try this
* Match args with signature in remote tool
* Should fix python interpreter for Python 3.8
* Fix push_to_hub for tools
* Other fixes to push_to_hub
* Add API doc page
* Docs
* Docs
* Custom tools
* Pin tensorflow-probability (#23220)
* Pin tensorflow-probability
* [all-test]
* [all-test] Fix syntax for bash
* PoC for some chaining API
* Text to speech
* J'ai pris des libertés
* Rename
* Basic python interpreter
* Add agents
* Quality
* Add translation tool
* temp
* GenQA + LID + S2T
* Quality + word missing in translation
* Add open assistance, support f-strings in evaluate
* captioning + s2t fixes
* Style
* Refactor descriptions and remove chain
* Support errors and rename OpenAssistantAgent
* Add setup
* Deal with typos + example of inference API
* Some rename + README
* Fixes
* Update prompt
* Unwanted change
* Make sure everyone has a default
* One prompt to rule them all.
* SD
* Description
* Clean up remote tools
* More remote tools
* Add option to return code and update doc
* Image segmentation
* ControlNet
* Gradio demo
* Diffusers protection
* Lib protection
* ControlNet description
* Cleanup
* Style
* Remove accelerate and try to be reproducible
* No randomness
* Male Basic optional in token
* Clean description
* Better prompts
* Fix args eval in interpreter
* Add tool wrapper
* Tool on the Hub
* Style post-rebase
* Big refactor of descriptions, batch generation and evaluation for agents
* Make problems easier - interface to debug
* More problems, add python primitives
* Back to one prompt
* Remove dict for translation
* Be consistent
* Add prompts
* New version of the agent
* Evaluate new agents
* New endpoints agents
* Make all tools a dict variable
* Typo
* Add problems
* Add to big prompt
* Harmonize
* Add tools
* New evaluation
* Add more tools
* Build prompt with tools descriptions
* Tools on the Hub
* Let's chat!
* Cleanup
* Temporary bs4 safeguard
* Cache agents and clean up
* Blank init
* Fix evaluation for agents
* New format for tools on the Hub
* Add method to reset state
* Remove nestedness in tool config
* Really do it
* Use remote tools descriptions
* Work
* Clean up eval
* Changes
* Tools
* Tools
* tool
* Fix everything
* Use last result/assign for evaluation
* Prompt
* Remove hardcoded selection
* Evaluation for chat agents
* correct some spelling
* Small fixes
* Change summarization model (#23172)
* Fix link displayed
* Update description of the tool
* Fixes in chat prompt
* Custom tools, custom prompt
* Tool clean up
* save_pretrained and push_to_hub for tool
* Fix init
* Tests
* Fix tests
* Tool save/from_hub/push_to_hub and tool->load_tool
* Clean push_to_hub and add app file
* Custom inference API for endpoints too
* Clean up
* old remote tool and new remote tool
* Make a requirements
* return_code adds tool creation
* Avoid redundancy between global variables
* Remote tools can be loaded
* Tests
* Text summarization tests
* Quality
* Properly mark tests
* Test the python interpreter
* And the CI shall be green.
* Work on RemoteTool and fix tests
* fix loading of additional tools
* General clean up
* Guard imports
* Fix tools
* Get default endpoint from the Hub
* Simplify tool config
* Add guide
* Docs
* Some fixes
* Docs
* Docs
* Fix code returned by agent
* Try this
* Docs
* Match args with signature in remote tool
* Should fix python interpreter for Python 3.8
* Fix push_to_hub for tools
* Other fixes to push_to_hub
* Add API doc page
* Fixes
* Doc fixes
* Docs
* Fix audio
* Custom tools
* Audio fix
* Improve custom tools docstring
* Docstrings
* Trigger CI
* Mode docstrings
* More docstrings
* Improve custom tools
* Fix for remote tools
* Style
* Fix repo consistency
* Quality
* Tip
* Cleanup on doc
* Cleanup toc
* Add disclaimer for starcoder vs openai
* Remove disclaimer
* Small fixed in the prompts
* 4.29
* Update src/transformers/tools/agents.py
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>
* Complete documentation
* Small fixes
* Agent evaluation
* Note about gradio-tools & LC
* Clean up agents and prompt
* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Note about gradio-tools & LC
* Add copyrights and address review comments
* Quality
* Add all language codes
* Add remote tool tests
* Move custom prompts to other docs
* Apply suggestions from code review
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* TTS tests
* Quality
---------
Co-authored-by: Lysandre <hi@lyand.re>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Philipp Schmid <32632186+philschmid@users.noreply.github.com>
Co-authored-by: Connor Henderson <connor.henderson@talkiatry.com>
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>
Co-authored-by: Lysandre <lysandre@huggingface.co>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* intiial commit
* new styling
* update
* just run doctest in CI
* remove more test for fast dev
* update
* update refs
* update path and fetch upstream
* update documentatyion trests
* typo
* parse pwd
* don't check for files that are in hidden folders
* just give paths relative to transformers
* update
* update
* update
* major refactoring
* make sure options is ok
* lest test that mdx is tested
* doctest glob
* nits
* update doctest nightly
* some cleaning
* run correct test on diff
* debug
* run on a single worker
* skip_cuda_test tampkate
* updates
* add rA and continue on failure
* test options
* parse `py` codeblock?
* we don't need to replace ignore results, don't remember whyu I put it
* cleanup
* more cleaning
* fix arg
* more cleaning
* clean an todo
* more pre-processing
* doctest-module has none so extra `- ` is needed
* remove logs
* nits
* doctest-modules ....
* oups
* let's use sugar
* make dataset go quiet
* add proper timeout
* nites
* spleling timeout
* update
* properly skip tests that have CUDSA
* proper skipping
* cleaning main and get tests to run
* remove make report?
* remove tee
* some updates
* tee was removed but is the full output still available?
* [all-test]
* only our tests
* don't touch tee in this PR
* no atee-sys
* proper sub
* monkey
* only replace call
* fix sub
* nits
* nits
* fix invalid syntax
* add skip cuda doctest env variable
* make sure all packages are installed
* move file
* update check repo
* revert changes
* nit
* finish cleanup
* fix re
* findall
* update don't test init files
* ignore pycache
* `-ignore-pycache` when running pytests
* try to fix the import missmatch error
* install dec
* pytest is required as doctest_utils imports things from it
* the only log issues were dataset, ignore results should work
* more cleaning
* Update .circleci/create_circleci_config.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Apply suggestions from code review
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* [ydshieh] empty string if cuda is found
* [ydshieh] fix condition
* style
* [ydshieh] fix
* Add comment
* style
* style
* show failure
* trigger CI
---------
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
* First draft of RWKV-4
* Add support for generate
* Style post-rebase
* Properly use state
* Write doc
* Fix doc
* More math
* Add model to README, dummies and clean config
* Fix init
* multiple fixes:
- fix common tests
- fix configuraion default values
- add CI test for checking state computation
- fix some CI tests
* correct tokenizer
* some tweaks
- fix config docstring
- fix failing tests
* fix CI tests
- add output_attention / output_hidden_states
- override test_initialization
- fix failing CIs
* fix conversion script
- fix sharded case
- add new arguments
* add slow tests + more fixes on conversion script
* add another test
* final fixes
* change single name variable
* add mock attention mask for pipeline to work
* correct eos token id
* fix nits
* add checkpoints
* Apply suggestions from code review
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* add `tie_word_embeddings` in docstring
* change tensor name
* fix final nits
* Trigger CI
---------
Co-authored-by: younesbelkada <younesbelkada@gmail.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
