* Let's try autodetecting serving sigs
* Don't clobber existing sigs
* Change shapes for multiplechoice models
* Make default dummy inputs smarter too
* Fix missing f-string
* Let's YOLO a serving output too
* Read __class__.__name__ properly
* Don't just pass naked lists in there and expect it to be okay
* Code cleanup
* Update default serving sig
* Clearer error messages
* Further updates to the default serving output
* make fixup
* Update the serving output a bit more
* Cleanups and renames, raise errors appropriately when we can't infer inputs
* More renames
* we're building in a functional context again, yolo
* import DUMMY_INPUTS from the right place
* import DUMMY_INPUTS from the right place
* Support cross-attention in the dummies
* Support cross-attention in the dummies
* Complete removal of dummy/serving overrides in BERT
* Complete removal of dummy/serving overrides in RoBERTa
* Obliterate lots and lots of serving sig and dummy overrides
* merge type hint changes
* Fix for token_type_ids with vocab_size 1
* Add missing property decorator
* Fix T5 and hopefully some models that take conv inputs
* More signature pruning
* Fix T5's signature
* Fix Wav2Vec2 signature
* Fix LongformerForMultipleChoice input signature
* Fix BLIP and LED
* Better default serving output error handling
* Fix BART dummies
* Fix dummies for cross-attention, esp encoder-decoder models
* Fix visionencoderdecoder signature
* Fix BLIP serving output
* Small tweak to BART dummies
* Cleanup the ugly parameter inspection line that I used in a few places
* committed a breakpoint again
* Move the text_dims check
* Remove blip_text serving_output
* Add decoder_input_ids to the default input sig
* Remove all the manual overrides for encoder-decoder model signatures
* Tweak longformer/led input sigs
* Tweak default serving output
* output.keys() -> output
* make fixup
* Rework TF type hints to use | None instead of Optional[] for tf.Tensor
* Rework TF type hints to use | None instead of Optional[] for tf.Tensor
* Don't forget the imports
* Add the imports to tests too
* make fixup
* Refactor tests that depended on get_type_hints
* Better test refactor
* Fix an old hidden bug in the test_keras_fit input creation code
* Fix for the Deit tests
* 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.
---------
Co-authored-by: younesbelkada <younesbelkada@gmail.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>
* initial working additions
* clean and rename, add cond stripping initial prompt to decode
* cleanup, edit create_initial_prompt_ids, add tests
* repo consistency, flip order of conditional
* fix error, move the processor fn to the tokenizer
* repo consistency, update test ids to corresponding tokenizer
* use convert_tokens_to_ids not get_vocab...
* use actual conditional in generate
* make sytle
* initial address comments
* initial working add new params to pipeline
* first draft of sequential generation for condition_on_previous_text
* add/update tests, make compatible with timestamps
* make compatible with diff. input kwargs and max length
* add None check
* add temperature check
* flip temp check operand
* refocusing to prev pr scope
* remove the params too
* make style
* edits, move max length incorporating prompt to whisper
* address comments
* remove asr pipeline prompt decoding, fix indexing
* address comments (more tests, validate prompt)
* un-comment out tests (from debug)
* remove old comment
* address comments
* fix typo
* remove timestamp token from test
* make style
* cleanup
* copy method to fast tokenizer, set max_new_tokens for test
* prompt_ids type just pt
* address Amy's comments
* make style
* 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>
* 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>
