GitLab

* first modeling code

* make repository

* still WIP

* update model

* add tests

* add latest change

* clean docstrings and copied from

* update docstrings md and readme

* correct chroma function

* correct copied from and remove unreleated test

* add doc to toctree

* correct imports

* add convert script to notdoctested

* Add suggestion from Sanchit
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* correct get_uncoditional_inputs docstrings

* modify README according to SANCHIT feedback

* add chroma to audio utils

* clean librosa and torchaudio hard dependencies

* fix FE

* refactor audio decoder -> audio encoder for consistency with previous musicgen

* refactor conditional -> encoder

* modify sampling rate logics

* modify license at the beginning

* refactor all_self_attns->all_attentions

* remove ignore copy from causallm generate

* add copied from for from_sub_models

* fix make copies

* add warning if audio is truncated

* add copied from where relevant

* remove artefact

* fix convert script

* fix torchaudio and FE

* modify chroma method according to feedback-> better naming

* refactor input_values->input_features

* refactor input_values->input_features and fix import fe

* add input_features to docstrigs

* correct inputs_embeds logics

* remove dtype conversion

* refactor _prepare_conditional_hidden_states_kwargs_for_generation ->_prepare_encoder_hidden_states_kwargs_for_generation

* change warning for chroma length

* Update src/transformers/models/musicgen_melody/convert_musicgen_melody_transformers.py
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* change way to save wav, using soundfile

* correct docs and change to soundfile

* fix import

* fix init proj layers

* add draft training

* fix cross entropy

* clean loss computation

* fix labels

* remove line breaks from md

* fix issue with docstrings

* add FE suggestions

* improve is in logics and remove useless imports

* remove custom from_pretrained

* simplify docstring code

* add suggestions for modeling tests

* make style

* update converting script with sanity check

* remove encoder attention mask from conditional generation

* replace musicgen melody checkpoints with official orga

* rename ylacombe->facebook in checkpoints

* fix copies

* remove unecessary warning

* add shape in code docstrings

* add files to slow doc tests

* fix md bug and add md to not_tested

* make fix-copies

* fix hidden states test and batching

* update training code

* add training tests for melody

* add training for o.g musicgen

* fix copied from

* remove final todos

* make style

* fix style

* add suggestions from review

* add ref to the original loss computation code

* rename method + fix labels in tests

* make style

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Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Use EAFP principle to prevent crash with third parties

* Remove leftover debugging code

* Add info-level logger message

* Fix SigLip classification doctest

* Remove extra line

* Update src/transformers/models/siglip/modeling_siglip.py

* Add utility for finding candidate models for deprecation

* Better model filtering

* Update

* Add warning tip

* Fix up

* Review comments

* Filter requests based on tags

* Add copyright header

* fix codellama conversion

* nit

Update ssh-runner.yml

Update push-important-models.yml

* add SSH into our runners workflow

* fix

* fix

* fix

* use our previous approaches

* forward contrib credits from discussions

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

* better names

* run better names

* update

* update

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

* Non blocking support

* Check for optimization

* Doc

* Check removing flag for torch

* LLM oops

* Getting there...

* More discoveries

* Change

* Clean up and prettify

* Logic check

* Not

save_safetensor=True is default as of release 4.35.0, which then
required TPU hotfix https://github.com/huggingface/transformers/pull/27799
(issue https://github.com/huggingface/transformers/issues/27578).
However, when the flag save_safetensor is set to False (compatibility mode),
moving the model to CPU causes generation of too many graphs
during checkpoint https://github.com/huggingface/transformers/issues/28438.
This PR disable moving of model to CPU when save_safetensor=False.

update most of decision transformers research project

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

* chore(root): Initial commit of Phi-3 files.

* fix(root): Fixes Phi-3 missing on readme.

* fix(root): Ensures files are consistent.

* fix(phi3): Fixes unit tests.

* fix(tests): Fixes style of phi-3 test file.

* chore(tests): Adds integration tests for Phi-3.

* fix(phi3): Removes additional flash-attention usage, .e.g, swiglu and rmsnorm.

* fix(phi3): Fixes incorrect docstrings.

* fix(phi3): Fixes docstring typos.

* fix(phi3): Adds support for Su and Yarn embeddings.

* fix(phi3): Improves according first batch of reviews.

* fix(phi3): Uses up_states instead of y in Phi3MLP.

* fix(phi3): Uses gemma rotary embedding to support torch.compile.

* fix(phi3): Improves how rotary embedding classes are defined.

* fix(phi3): Fixes inv_freq not being re-computed for extended RoPE.

* fix(phi3): Adds last suggestions to modeling file.

* fix(phi3): Splits inv_freq calculation in two lines.

* trigger

* remove the last job

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

* Fixed main train issues

* Added loss test

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

* Added missing labels arg in SegGptModel forward

* Fixed typo

* Added slow test to test loss calculation

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

* fix jamba slow foward for multi-gpu

* remove comm

* oups

* style

* fix clip's/siglip's _init_weights to reflect linear layers in "for image classification"

* trigger slow tests

* make device-agnostic

* clean code

* nit

* nit and fmt skip

* fixup

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

* set to true

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

* Add test for square image that fails

* Fix for square images

* Extend test cases

* Fix resizing in tests

* Style fixup

* nuke

* add co-author

* add co-author

* update card

* fixup and fix copies to please our ci

* nit fixup

* super small nits

* remove tokenizer_path from call to `write_model`

* always safe serialize by default

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

* You should not pass
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

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

Remove mentions of models in the READMEs and link to the documentation page in which they are featured. (#30420)

* REAMDEs

* REAMDEs v2

* Remove add-new-model in favor of add-new-model-like

* nits

* push legacy to fast as well

* super strange

* Update src/transformers/convert_slow_tokenizer.py

* make sure we are BC

* fix Llama test

* nit

* revert

* more test

* style

* update

* small update w.r.t tokenizers

* nit

* don't split

* lol

* add a test for `add_prefix_space=False`

* fix gemma tokenizer as well

* update

* fix gemma

* nicer failures

* fixup

* update

* fix the example for legacy = False

* use `huggyllama/llama-7b` for the PR doctest

* nit

* use from_slow

* fix llama

* Fix use_cache for xla fsdp

* Fix linters

torch.run does not exist anywhere as far as I can tell.

* Remove old TF port guide

* repo-consistency

* Remove some translations as well for consistency

* Remove some translations as well for consistency

* fix

* try suggestion

* update

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

Update Dockerfile

* fix for itemsize => element_size() for torch backwards compat

* improve handling of element counting

* Update src/transformers/modeling_utils.py

* fixup

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

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Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: Younes Belkada <younesbelkada@gmail.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* clean commit history I hope

* get kv seq length correctly

* PR suggestions

* Update src/transformers/testing_utils.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* add comment

* give gpt bigcode it's own overriden method

* remove code

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Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

scipy pin for jax

* add cuda flag

* check for sdpa

* add bitsandbytes

fix: link to HF repo tree when a file is missing