GitLab

* Add FlaxClipTextModelWithProjection

This is necessary to support the Flax port of Stable Diffusion XL: https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0/blob/fb6d705fb518524cabc79c77f13a0e7921bcab3a/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.

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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>

fix save_pretrained issue + add test

fix failing PEFT tests

* Check if pixel values between 0-255 and add doc clarification

* Add missing docstrings

* _is_scale_image -> is_scaled_image

* Spelling is hard

* Tidy up

* refactor complicated from pretrained for peft

* nits

* more nits

* Update src/transformers/modeling_utils.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* make tests happy

* fixup after merge

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

* Fix number of minimal calls to the Hub with peft integration

* Alternate design

* And this way?

* Revert

* Address comments

* fix peft version

* address comments

* adapt suggestion

Resolve typos in warning text

make unk_token_length a property

Update configuration_gpt2.py

* [DOCS] Added docstring example for EpsilonLogitsWarper #24783

* minor code changes based on review comments

* set seed for both generate calls, reduced the example length

* fixed line length under 120 chars

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

[CLAP] Fix dtype of logit scales

* Pass a Python scalar for alpha in torch.baddbmm

* fixup

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Co-authored-by: Arthur Zucker <arthur.zucker@gmail.com>

nit

* hot fix

* only encode with string prefix if starts with prefix

* styling

* add a new test

* fixup

* Updated gpt_neo causalLM to support using input embeddings for generation

* added indentation

* Did make fixup

* stringify config

* apply code formatting

* 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

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Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>

* properly support Sequence of pretokenizers

* actual fix

* make sure the fix works. Tests are not working for sure!

* hacky way

* add TODO

* update

* add a todo

* nits

* rename test

* nits

* rename test

* Update the TF pin and see if anything breaks

* make fixup

* make fixup

* make fixup

[MINOR:TYPO] Update tokenization_auto.py

* add: NumberNormalizer works for integers, floats, common currencies, negative numbers and percentages

* fix: renamed number normalizer class and added normalization to SpeechT5Processor

* fix: restyled with black and ruff, should pass code quality tests

* fix: moved normalization to tokenizer and other small changes to normalizer

* add: test for normalization and changed the existing full tokenizer test

* fix: tokenization tests now pass, made changes to existing tokenization where normalization is covered; added normalize arg to func signature

* fix: changed default normalize setting to False, modified the tests a bit

* fix: added support for comma separated numbers, tokenization on the fly with kwargs and normalizer getter setter funcs

Support revision in push_to_hub

* 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

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Co-authored-by: Jongho Choi <sweetcocoa@snu.ac.kr>

changing position of score threshold and its default value

* correct TTS pipeline docstrings snippet

* add text_to_audio.py pipelines to documentation tests

fix PEFT integration failures

* reattach hooks

* fix style

* rename

* restore

* mappings

* unedited tests+docs

* docs

* fixes

* fix auto-sync breakage

* cleanup

* wip

* wip

* add fetch_images

* remove einops dependency

* update

* fix

* fix

* fix

* fix

* fix

* re-add

* add batching

* rework

* fix

* improve

* add Leo as I am extending his work

* cleanup

* fix

* cleanup

* slow-test

* fix

* fix

* fixes

* deal with warning

* rename modified llama classes

* rework fetch_images

* alternative implementation

* cleanup

* strict version

* cleanup

* [`IDEFICS`] Fix idefics ci (#25056)

* Fix IDEFICS CI

* fix test file

* fixup

* some changes to make tests pass

* fix

* fixup

* Update src/transformers/models/idefics/configuration_idefics.py
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

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Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* remove compat checks

* style

* explain that Idefics is not for training from scratch

* require pt>=2.0

* fix idefics vision config (#25092)

* fix idefics vision config

* fixup

* clean

* Update src/transformers/models/idefics/configuration_idefics.py

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Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* cleanup

* style

* cleanup

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* upcase

* sequence of images

* handle the case with no images

* Update src/transformers/image_processing_utils.py
Co-authored-by: Victor SANH <victorsanh@gmail.com>

* support pure lm take 2

* support tokenizer options

* parameterize num_channels

* fix upcase

* s|IdeficsForCausalLM|IdeficsForVisionText2Text|g

* manual to one line

* addressing review

* unbreak

* remove clip dependency

* fix test

* consistency

* PIL import

* Idefics prefix

* Idefics prefix

* hack to make tests work

* style

* fix

* fix

* revert

* try/finally

* cleanup

* clean up

* move

* [`IDEFICS`] Fix idefics config refactor (#25149)

* refactor config

* nuke init weights

* more refactor

* oops

* remove visual question answering pipeline support

* Update src/transformers/models/idefics/clip.py
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* Update src/transformers/models/idefics/modeling_idefics.py

* cleanup

* mv clip.py vision.py

* tidyup

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Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
Co-authored-by: Stas Bekman <stas@stason.org>

* fix

* license

* condition on pt

* fix

* style

* fix

* rm torchvision dependency, allow custom transforms

* address review

* rework device arg

* add_eos_token

* s/transforms/transform/

* fix top level imports

* fix return value

* cleanup

* cleanup

* fix

* style

* license

* license

* Update src/transformers/models/idefics/image_processing_idefics.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* add a wrapper to freeze vision layears

* tidyup

* use the correct std/mean settings

* parameterize values from config

* add tests/models/idefics/test_image_processing_idefics.py

* add test_processor_idefics.py

* cleanup

* cleanups

* fix

* fix

* move to the right group

* style

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* add perceiver config

* reset

* missing arg docs

* Apply suggestions from code review
Co-authored-by: Leo Tronchon <leo.tronchon@gmail.com>

* address review comments

* inject automatic end of utterance tokens (#25218)

* inject automatic end of utterance tokens

* fix

* fix

* fix

* rework to not use the config

* not end_of_utterance_token at the end

* Update src/transformers/models/idefics/processing_idefics.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* address review

* Apply suggestions from code review
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* Update src/transformers/image_processing_utils.py
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>

* [`Idefics`] add image_embeddings option in generate-related methods (#25442)

* add image_embeddings option in generate-related methods

* style

* rename image_embeddings and allow perceiver embeddings precomputation

* compute embeddings within generate

* make is_encoder_decoder= True the default in config

* nested if else fix

* better triple check

* switch if elif order for pixel values / img embeds

* update model_kwargs perceiver only at the end

* use _prepare_model_inputs instead of encoder_decoder logic

* fix comment typo

* fix config default for is_encoder_decoder

* style

* add typehints

* precompute in forward

* doc builder

* style

* pop instead of get image hidden states

* Trigger CI

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

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

* fix * + indentation + style

* simplify a bit the use_resampler logic using comments

* update diocstrings

* Trigger CI

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

* fix rebase changes

* unbreak #25237 - to be fixed in follow up PRs

* is_composition = False

* no longer needed

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Co-authored-by: leot13 <leo.tronchon@gmail.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Victor SANH <victorsanh@gmail.com>
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Add auto model for spectrogram/waveform

* Add doc and install

* Add dummy objects

* Did I miss anything?