GitLab

Add BlenderbotSmall templates and correct handling for conversation.past_user_inputs

* moved `ctrl` to `Salesforce/ctrl`

redirects should theoretically work, but still updating those repo references for clarity

* Fixup

* Slow doc tests

* Add modeling file

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Co-authored-by: Lysandre <lysandre@huggingface.co>

* update

* update

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

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

* Allow PEFT model dict to be loaded

* make style

* make style

* Apply suggestions from code review

* address comments

* fixup

* final change

* added tests

* fix test

* better logic for handling if adapter has been loaded

* Update tests/peft_integration/test_peft_integration.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

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Co-authored-by: younesbelkada <younesbelkada@gmail.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* initial commit for the IDEFICS task guide

* conversational example

* updated TOC

* fixed typos

* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* addressed feedback

* bad_words_ids

* Apply suggestions from code review
Co-authored-by: Victor SANH <victorsanh@gmail.com>

* rank classification note

* feedback addressed

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Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Victor SANH <victorsanh@gmail.com>

* nits

* update the test

* nits

* update

* fix bark

* fix bark tests and allow padding to multiple of without new tokens

* Update notebook.py

fix multi eval datasets

* Update notebook.py

* Update notebook.py

using `black` to reformat

* Update notebook.py

support Validation Loss

* Update notebook.py

reformat

* Update notebook.py

* Put tokenizer methods in the right alphabetical order in the docs

* Quick tweak to ConversationalPipeline

* Typo fixes in the developer doc

* make fixup

* add pos embed interpolation for vision encoder

* style

* update config with interpolate_pos_encoding arg

* fix imports formatting

* take off copied from on vision embeddings

* add test for image embeddings interpolation

* add credit for interpolation code

* Update src/transformers/models/idefics/configuration_idefics.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/idefics/vision.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* fix condition to check nbr image patches match shape of pos embeddings

* use kwargs in the forward methods for interpolation

* fix tests

* have interpolate_pos_encoding default to False instead of None

* Update tests/models/idefics/test_modeling_idefics.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update tests/models/idefics/test_modeling_idefics.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update tests/models/idefics/test_modeling_idefics.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/idefics/configuration_idefics.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* take off for loop meant to print k,v

* add interpolate_pos_encoding arg in prepare_inputs_for_generation

* add test for interpolated generation

* fix edge case num_patches == num_positions and height == width

* add test for edge case

* fix pos_embed in interpolate

* allow interpolation in bf16 with upcasting

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

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

* add multiple images tests for interpolation and generation

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Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Improve conversion script

* Add int8 code example

* Update tip

* Fix code

* Fix code snippet

* Add nucleus sampling

* More improvements

* Address comments

* Address comments

* add Bros boilerplate

* copy and pasted modeling_bros.py from official Bros repo

* update copyright of bros files

* copy tokenization_bros.py from official repo and update import path

* copy tokenization_bros_fast.py from official repo and update import path

* copy configuration_bros.py from official repo and update import path

* remove trailing period in copyright line

* copy and paste bros/__init__.py from official repo

* save formatting

* remove unused unnecessary pe_type argument - using only crel type

* resolve import issue

* remove unused model classes

* remove unnecessary tests

* remove unused classes

* fix original code's bug - layer_module's argument order

* clean up modeling auto

* add bbox to prepare_config_and_inputs

* set temporary value to hidden_size (32 is too low because of the of the
Bros' positional embedding)

* remove decoder test, update create_and_check* input arguemnts

* add missing variable to model tests

* do make fixup

* update bros.mdx

* add boilerate plate for no_head inference test

* update BROS_PRETRAINED_MODEL_ARCHIVE_LIST (add naver-clova-ocr prefix)

* add prepare_bros_batch_inputs function

* update modeling_common to add bbox inputs in Bros Model Test

* remove unnecessary model inference

* add test case

* add model_doc

* add test case for token_classification

* apply fixup

* update modeling code

* update BrosForTokenClassification loss calculation logic

* revert logits preprocessing logic to make sure logits have original shape

* - update class name

* - add BrosSpadeOutput
- update BrosConfig arguments

* add boilerate plate for no_head inference test

* add prepare_bros_batch_inputs function

* add test case

* add test case for token_classification

* update modeling code

* update BrosForTokenClassification loss calculation logic

* revert logits preprocessing logic to make sure logits have original shape

* apply masking on the fly

* add BrosSpadeForTokenLinking

* update class name
put docstring to the beginning of the file

* separate the logits calculation logic and loss calculation logic

* update logic for loss calculation so that logits shape doesn't change
when return

* update typo

* update prepare_config_and_inputs

* update dummy node initialization

* update last_hidden_states getting logic to consider when return_dict is False

* update box first token mask param

* bugfix: remove random attention mask generation

* update keys to ignore on load missing

* run make style and quality

* apply make style and quality of other codes

* update box_first_token_mask to bool type

* update index.md

* apply make style and quality

* apply make fix-copies

* pass check_repo

* update bros model doc

* docstring bugfix fix

* add checkpoint for doc, tokenizer for doc

* Update README.md

* Update docs/source/en/model_doc/bros.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update bros.md

* Update src/transformers/__init__.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update docs/source/en/model_doc/bros.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Apply suggestions from code review
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* apply suggestions from code review

* apply suggestions from code review

* revert test_processor_markuplm.py

* Update test_processor_markuplm.py

* apply suggestions from code review

* apply suggestions from code review

* apply suggestions from code review

* update BrosSpadeELForTokenClassification head name to entity linker

* add doc string for config params

* update class, var names to more explicit and apply suggestions from code review

* remove unnecessary keys to ignore

* update relation extractor to be initialized with config

* add bros processor

* apply make style and quality

* update bros.md

* remove bros tokenizer, add bros processor that wraps bert tokenizer

* revert change

* apply make fix-copies

* update processor code, update itc -> initial token, stc -> subsequent token

* add type hint

* remove unnecessary condition branches in embedding forward

* fix auto tokenizer fail

* update docstring for each classes

* update bbox input dimension as standard 2 points and convert them to 4
points in forward pass

* update bros docs

* apply suggestions from code review : update Bros -> BROS in bros.md

* 1. box prefix var -> bbox
2. update variable names to be more explicit

* replace einsum with torch matmul

* apply style and quality

* remove unused argument

* remove unused arguments

* update docstrings

* apply suggestions from code review: add BrosBboxEmbeddings, replace
einsum with classical matrix operations

* revert einsum update

* update bros processor

* apply suggestions from code review

* add conversion script for bros

* Apply suggestions from code review

* fix readme

* apply fix-copies

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

* Fix word-level timestamps for audio < 30 seconds

* Fix code quality

* fix unit tests

* Fix unit tests

* Fix unit test

* temp: print out result

* temp: set max diff to None

* fix unit tests

* fix typo

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

* Use generation config for `num_frames`

* fix docs

* Move `num_frames` to kwargs

* compute stride/attn_mask once

* mark test as slow

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

* [MusicGen] Add sampling rate to config

* remove tiny

* make property

* Update tests/pipelines/test_pipelines_text_to_audio.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* style

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

* Fix GPTNeoX beam search when using parallelize

* Fix beam search idx device when using model parallel

* remove onnx related stuff
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* fix: move test_beam_search_on_multi_gpu to GenerationTesterMixin

* fix: add right item to _no_split_modules of MegaPreTrainedModel

* fix: add num_beams within parallelized beam_search test
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

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Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* [MusicGen] Add streamer to generate

* add to for cond generation

* add test

* finish

* torch only

* fix type hint

* yield audio chunks

* fix typehint

* remove test

* First commit while I figure this out

* make fixup

* Remove unused method

* Store prompt attrib

* Fix prompt argument for tests

* Make same changes in fast tokenizer

* Remove global prompts from fast tokenizer too

* stash commit

* stash commit

* Migrate PromptConfig to its True Final Location

* Replace Conversation entirely with the new class

* Import/dependency fixes

* Import/dependency fixes

* Change format for lots of default prompts

* More default prompt fixups

* Revert llama old methods so we can compare

* Fix some default configs

* Fix some default configs

* Fix misspelled kwarg

* Fixes for Blenderbot

* make fixup

* little rebase cleanup

* Add basic documentation

* Quick doc fix

* Truncate docstring for now

* Add handling for the case when messages is a single string

* Quick llama merges

* Update conversational pipeline and tests

* Add a couple of legacy properties for backward compatibility

* More legacy handling

* Add docstring for build_conversation_input_ids

* Restructure PromptConfig

* Let's start T E M P L A T I N G

* Refactor all default configs to use templates instead

* Revert changes to the special token properties since we don't need them anymore

* More class templates

* Make the sandbox even sandier

* Everything replaced with pure templating

* Remove docs for PromptConfig

* Add testing and optional requirement boilerplate

* Fix imports and make fixup

* Fix LLaMA tests and add Conversation docstring

* Finally get LLaMA working with the template system

* Finally get LLaMA working with the template system

* make fixup

* make fixup

* fmt-off for the long lists of test tokens

* Rename method to apply_chat_template for now

* Start on documentation

* Make chat_template a property that reads through to the default if it's not set

* Expand docs

* Expand chat templating doc some more

* trim/lstrip blocks by default and update doc

* Few doc tweaks

* rebase cleanup

* Clarify docstring

* rebase cleanup

* rebase cleanup

* make fixup

* Quick doc edit

* Reformat the standard template to match ChatML

* Re-add PEFT check

* Update docs/source/en/chat_templating.md
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Add apply_chat_template to the tokenizer doc

* make fixup

* Add doc links

* Fix chat links

* Fix chat links

* Explain system messages in the doc

* Add chat template test

* Proper save-loading for chat template attribute

* Add test skips for layout models

* Remove _build_conversation_input_ids, add default_chat_template to code_llama

* Make sure all LLaMA models are using the latest template

* Remove default_system_prompt block in code_llama because it has no default prompt

* Update ConversationPipeline preprocess

* Add correct #Copied from links to the default_chat_templates

* Remove unneeded type checking line

* Add a dummy mark_processsed method

* Reorganize Conversation to have **deprecated_kwargs

* Update chat_templating.md

* Quick fix to LLAMA tests

* Small doc tweaks

* Add proper docstrings and "copied from" statements to all default chat templates

* Merge use_default_system_prompt support for code_llama too

* Improve clarity around self.chat_template

* Docstring fix

* Fix blenderbot default template

* More doctest fix

* Break out some tokenizer kwargs

* Update doc to explain default templates

* Quick tweaks to tokenizer args

* Cleanups for tokenizer args

* Add note about cacheing

* Quick tweak to the chat-templating doc

* Update the LLaMA template with error checking and correct system message embedding

* make fixup

* make fixup

* add requires_jinja

* Cleanup to expected output formatting

* Add cacheing

* Fix typo in llama default template

* Update LLaMA tests

* Update documentation

* Improved legacy handling in the Conversation class

* Update Jinja template with proper error handling

* Quick bugfix

* Proper exception raising

* Change cacheing behaviour so it doesn't try to pickle an entire Jinja env

* make fixup

* rebase cleanup

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Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* fix PEFT + gradient checkpointing

* add disable RG

* polish tests

* fix comment

* Revert "fix comment"

This reverts commit b85386f50d2b104bac522e823c47b7e232116a47.

* final explanations and tests

* [Whisper Tokenizer] Fix tests after adding timestamps

* fix s2t tokenizer tests

* fix vocab test

* backwards comp

* fix tests

* comment

* style

* fix last test

* fix fast

* make faster

* move logic to decode

* remove skip test

* fix decode with offsets

* fix special tokens

* empty commit to re-trigger ci

* use lru cache

As mentioned in: https://github.com/huggingface/transformers/issues/25641

Eval accumulation will never happen with `accelerate > 0.20.3`, so this change ensures that `sync_gradients` is ignored if accelerate is > 0.20.3

Add missing Maskformer dataclass decorator, add dataclass check in ModelOutput for subclasses (#25638)

* Add @dataclass to MaskFormerPixelDecoderOutput

* Add dataclass check if subclass of ModelOutout

* Use unittest assertRaises rather than pytest per contribution doc

* Update src/transformers/utils/generic.py per suggested change
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

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

flex gpu bug fix

* last hidden state clarification

* feedback addressed

* Update training_args.py

Missing distributed state so lign 1813-1814 failed because value is undefined

* Update training_args.py
Co-authored-by: Zach Mueller <muellerzr@gmail.com>

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Co-authored-by: Zach Mueller <muellerzr@gmail.com>

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

* Final fix RWMV 4bit

* fixup

* add a test

* add more clarifications

update names mapping for spectrogram and waveform models

Add missing space in utils.py

Warning now reads as "...  to control thegeneration length. We ..."

* fix 4bit `num_parameters`

* stronger check

Fix docstring typo

* fix the deepspeed tests

* resolve comment

* add: check to remove metaspace from marian tokenizer

* fix: metaspace character being removed from everywhere

* fix: remove redundant check at top

* add: test for marian tokenizer decode fix

* fix: simplified the test