GitLab

* v1

* oops

* working v1

* fixup

* add some TODOs

* fixup

* padding support + try with module replacement

* nit

* alternative design

* oops

* add `use_cache` support for llama

* v1 falcon

* nit

* a bit of refactor

* nit

* nits nits

* add v1 padding support falcon (even though it seemed to work before)

* nit

* falcon works

* fixup

* v1 tests

* nit

* fix generation llama flash

* update tests

* fix tests + nits

* fix copies

* fix nit

* test- padding mask

* stype

* add more mem efficient support

* Update src/transformers/modeling_utils.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* fixup

* nit

* fixup

* remove it from config when saving

* fixup

* revert docstring

* add more checks

* use values

* oops

* new version

* fixup

* add same trick for falcon

* nit

* add another test

* change tests

* fix issues with GC and also falcon

* fixup

* oops

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

* add init_rope

* updates

* fix copies

* fixup

* fixup

* more clarification

* fixup

* right padding tests

* add docs

* add FA in docker image

* more clarifications

* add some figures

* add todo

* rectify comment

* Change to FA2

* Update docs/source/en/perf_infer_gpu_one.md
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* split in two lines

* change test name

* add more tests

* some clean up

* remove `rearrange` deps

* add more docs

* revert changes on dockerfile

* Revert "revert changes on dockerfile"

This reverts commit 8d72a66b4b9b771abc3f15a9b9506b4246d62d8e.

* revert changes on dockerfile

* Apply suggestions from code review
Co-authored-by: Lysandre Debut <hi@lysand.re>

* address some comments

* docs

* use inheritance

* Update src/transformers/testing_utils.py
Co-authored-by: Lysandre Debut <hi@lysand.re>

* fixup

* Apply suggestions from code review
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/modeling_utils.py

* final comments

* clean up

* style

* add cast + warning for PEFT models

* fixup

---------
Co-authored-by: Felix Marty <9808326+fxmarty@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Lysandre Debut <hi@lysand.re>

Keep relevant weights in fp32 when `model._keep_in_fp32_modules` is set even when `accelerate` is not installed (#26225)

* fix bug where weight would not be kept in fp32

* nit

* address review comments

* fix test

* include changes from llama

* add a test

* fix bros integration test

* update bros checkpoint

* First draft

* Simplify image processor

* Fix rebase

* Address comments

* Address more comments

* Address more comments

* Address more comments

* Address more comments

* Improve pad_image

* Add tests

* Update integration test

* Fix image processor tests

* Fix model tests

* Convert checkpoints

* Fix doc tests

* Remove file

* Apply suggestions

* Address comments

* Fix typing hint

* Add batch_norm_eps

* Address comments

* Fix style

* Add test

* Add config_class

* fix test for bart. Order is correct now let's skip BPEs

* ouf

* styling

* fix bert....

* slow refactoring

* current updates

* massive refactoring

* update

* NICE!

* update to see where I am at

* updates

* update

* update

* revert

* updates

* updates

* start supporting legacy_save

* styling

* big update

* revert some changes

* nits

* nniiiiiice

* small fixes

* kinda fix t5 with new behaviour

* major update

* fixup

* fix copies

* today's updates

* fix byt5

* upfate

* update

* update

* updates

* update vocab size test

* Barthez does not use not need the fairseq offset ids

* super calll must be after

* calll super

* move all super init

* move other super init

* fixup

* nits

* more fixes

* nits

* more fixes

* nits

* more fix

* remove useless files

* ouch all of them are affected

* and more!

* small imporvements

* no more sanitize token

* more changes around unique no split tokens

* partially fix more things

* keep legacy save but add warning

* so... more fixes

* updates

* guess deberta tokenizer could be nuked

* fixup

* fixup did some bad things

* nuke it if it breaks

* remove prints and pretrain fast from slow with new format.

* fixups

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

* fiou

* nit

* by default specials should not be normalized?

* update

* remove brakpoint

* updates

* a lot of updates

* fixup

* fixes revert some changes to match fast

* small nits

* that makes it cleaner

* fix camembert accordingly

* update

* some lest breaking changes

* update

* fixup

* fix byt5 and whisper mostly

* some more fixes, canine's byte vocab

* fix gpt2

* fix most of the perceiver tests (4 left)

* fix layout lmv3

* fixup

* fix copies for gpt2 style

* make sure to only warn once

* fix perciever and gpt2 tests

* some more backward compatibility: also read special tokens map because some ppl use it........////.....

* fixup

* add else when reading

* nits

* fresh updates

* fix copies

* will this make everything faster?

* fixes

* more fixes

* update

* more fixes

* fixup

* is the source of truth right?

* sorry camembert for the troubles

* current updates

* fixup

* update led

* update

* fix regression

* fix single word

* more model specific fixes

* fix t5 tests

* fixup

* more comments

* update

* fix nllb

* rstrip removed

* small fixes

* better handle additional_special_tokens and vocab sizes

* fixing

* styling

* fix 4 / 21

* fixup

* fix nlbb's tests

* some fixes

* fix t5

* fixes

* style

* fix canine tests

* damn this is nice

* nits

* m2m100 nit

* fixups

* fixes!

* fixup

* stash

* fix merge

* revert bad change

* fixup

* correct order for code Llama

* fix speecht5 post merge

* styling

* revert source of 11 fails

* small nits

* all changes in one go

* fnet hack

* fix 2 more tests

* update based on main branch of tokenizers

* fixup

* fix VITS issues

* more fixes

* fix mgp test

* fix camembert issues

* oups camembert still has 2 failing tests

* mluke fixes

* decode fixes

* small nits

* nits

* fix llama and vits

* fix camembert

* smal nits

* more fixes when initialising a fast from a slow and etc

* fix one of the last test

* fix CPM tokenizer test

* fixups

* fix pop2piano

* fixup

* ⚠️ Change tokenizers required version ⚠️

* ⚠️ Change tokenizers required version ⚠️

* "tokenizers>=0.14,<0.15", don't forget smaller than

* fix musicgen tests and pretraiendtokenizerfast

* fix owlvit and all

* update t5

* fix 800 red

* fix tests

* fix the fix of the fix of t5

* styling

* documentation nits

* cache _added_tokens_encoder

* fixups

* Nit

* fix red tests

* one last nit!

* make eveything a lot simpler

* Now it's over 😉



* few small nits

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

* updates that work for now

* tests that should no be skipped / changed and fixed next

* fixup

* i am ashamed

* pushe the fix

* update

* fixups

* nits

* fix added_tokens_encoder

* fix canine test

* fix pegasus vocab

* fix transfoXL

* fixup

* whisper needs to be fixed for train new

* pegasus nits

* more pegasus fixes

* minor update

* better error message in failed test

* fix whisper failing test

* fix whisper failing test

* fix pegasus

* fixup

* fix **** pegasus

* reset things

* remove another file

* attempts to fix the strange custome encoder and offset

* nits here and there

* update

* fixup

* nit

* fix the whisper test

* nits nits

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

* updates based on review

* some small update to potentially remove

* nits

* import rlu cache

* Update src/transformers/tokenization_utils_base.py
Co-authored-by: Lysandre Debut <hi@lysand.re>

* move warning to `from_pretrained`

* update tests results now that the special tokens are always added

---------
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Lysandre Debut <hi@lysand.re>

* Fix non-shared weights

* Add tests

* Edit tied weights keys

* moved `ctrl` to `Salesforce/ctrl`

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

* Fixup

* Slow doc tests

* Add modeling file

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

* 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

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

* 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

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

* 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

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

* [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

* 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

* intiial commit

* updates

* nits

* update conversion script

* update conversion script

* use path to load

* add tips etc

* some modeling logic

* modeling update

* more nits

* nits

* normal layer norm

* update config and doc

* nits

* update doc remove unused

* update

* fix inits and stuff

* fixup

* revert wrong changes

* updates

* more nits

* add default config values to the configuration file

* fixup happy

* update

* 2 tests left

* update readmes

* more nits

* slow test and more documentation

* update readme

* fix licences

* styling

* use fast if possible when saving tokenizer

* remove todo

* remove tokenization tests

* small last nits

* Apply suggestions from code review
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>

* nits to skip the timout doctest

* fix integration test

* fix test

* update eos token

* update to allow fast tokenization

* styling

* fix codeLlama as well for the update post processor

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

* add more copied from statements

* update

* doc passes doctest

* remove `# final layer norm?`

* change docstring prompot

* update

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

* don't doctest the conversion script as it requires more packages

* don't init a model in the config

* oups

* fix doctest

---------
Co-authored-by: Matt <Rocketknight1@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>

* skip failing tests until #26054 is merged

* fixup

* fix tokenizer

* make bs even

* fix multi gpu test

* style

* model forward

* fix torch import

* revert tok pin

* add: potential fix to mega chunking in decoder only model bug

* add: decoder with chunking test

* add: input_mask passed with input_ids

* revision did not exist

* correct revision

* [Wav2Vec2 Conformer] Fix inference float16

* fix test

* fix test more

* clean pipe test

* Add TFDebertaV2ForMultipleChoice

* Import newer model in main init

* Fix import issues

* Fix copies

* Add doc

* Fix tests

* Fix copies

* Fix docstring

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

* Update feature_extraction_clap.py

* changed all lenght to length

* Put Falcon back

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

* Update test

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

* [VITS] Fix init test

* add flaky decorator

* style

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

* style

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

* update

* fix

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

* some bug fixes

* updates

* Update code_llama.md
Co-authored-by: Omar Sanseviero <osanseviero@users.noreply.github.com>

* Add co author
Co-authored-by: pcuenca <pedro@latenitesoft.com>

* add a test

* fixup

* nits

* some updates

* fix-coies

* adress comments

* nits

* nits

* fix docsting

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

* update

* add int for https://huggingface.co/spaces/hf-accelerate/model-memory-usage



---------
Co-authored-by: Omar Sanseviero <osanseviero@users.noreply.github.com>
Co-authored-by: pcuenca <pedro@latenitesoft.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* add VITS model

* let's vits

* finish TextEncoder (mostly)

* rename VITS to Vits

* add StochasticDurationPredictor

* ads flow model

* add generator

* correctly set vocab size

* add tokenizer

* remove processor & feature extractor

* add PosteriorEncoder

* add missing weights to SDP

* also convert LJSpeech and VCTK checkpoints

* add training stuff in forward

* add placeholder tests for tokenizer

* add placeholder tests for model

* starting cleanup

* let the great renaming begin!

* use config

* global_conditioning

* more cleaning

* renaming variables

* more renaming

* more renaming

* it never ends

* reticulating the splines

* more renaming

* HiFi-GAN

* doc strings for main model

* fixup

* fix-copies

* don't make it a PreTrainedModel

* fixup

* rename config options

* remove training logic from forward pass

* simplify relative position

* use actual checkpoint

* style

* PR review fixes

* more review changes

* fixup

* more unit tests

* fixup

* fix doc test

* add integration test

* improve tokenizer tests

* add tokenizer integration test

* fix tests on GPU (gave OOM)

* conversion script can handle repos from hub

* add conversion script for all MMS-TTS checkpoints

* automatically create a README for the converted checkpoint

* small changes to config

* push README to hub

* only show uroman note for checkpoints that need it

* remove conversion script because code formatting breaks the readme

* make WaveNet layers configurable

* rename variables

* simplifying the math

* output attentions and hidden states

* remove VitsFlip in flow model

* also got rid of the other flip

* fix tests

* rename more variables

* rename tokenizer, add phonemization

* raise error when phonemizer missing

* re-order config docstrings to match method

* change config naming

* remove redundant str -> list

* fix copyright: vits authors -> kakao enterprise

* (mean, log_variances) -> (prior_mean, prior_log_variances)

* if return dict -> if not return dict

* speed -> speaking rate

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

* update fused tanh sigmoid

* reduce dims in tester

* audio -> output_values

* audio -> output_values in tuple out

* fix return type

* fix return type

* make _unconstrained_rational_quadratic_spline a function

* all nn's to accept a config

* add spectro to output

* move {speaking rate, noise scale, noise scale duration} to config

* path -> attn_path

* idxs -> valid idxs -> padded idxs

* output values -> waveform

* use config for attention

* make generation work

* harden integration test

* add spectrogram to dict output

* tokenizer refactor

* make style

* remove 'fake' padding token

* harden tokenizer tests

* ron norm test

* fprop / save tests deterministic

* move uroman to tokenizer as much as possible

* better logger message

* fix vivit imports

* add uroman integration test

* make style

* up

* matthijs -> sanchit-gandhi

* fix tokenizer test

* make fix-copies

* fix dict comprehension

* fix config tests

* fix model tests

* make outputs consistent with reverse/not reverse

* fix key concat

* more model details

* add author

* return dict

* speaker error

* labels error

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

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

* remove uromanize

* add docstrings

* add docstrings for tokenizer

* upper-case skip messages

* fix return dict

* style

* finish tests

* update checkpoints

* make style

* remove doctest file

* revert

* fix docstring

* fix tokenizer

* remove uroman integration test

* add sampling rate

* fix docs / docstrings

* style

* add sr to model output

* fix outputs

* style / copies

* fix docstring

* fix copies

* remove sr from model outputs

* Update utils/documentation_tests.txt
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* add sr as allowed attr

---------
Co-authored-by: sanchit-gandhi <sanchit@huggingface.co>
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

fix instructblip test

update checkpoints

* return when length is zero

* Add tests
Co-authored-by: Avnish Narayan <38871737avnishn@users.noreply.github.com>

* Co-authored-by: avnishn
<38871737+avnishn@users.noreply.github.com>

* codeLlama doc should not be on Main

* update test

---------
Co-authored-by: Avnish Narayan <38871737avnishn@users.noreply.github.com>

* First draft

* More improvements

* Fix all tests

* More improvements

* Add backbone test

* Improve docstring

* Address comments

* Rename attribute

* Remove expected output

* Update src/transformers/models/dinov2/modeling_dinov2.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Fix style

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

* First draft

* Fix READMEs

* Update return_dict

* Add more tests

* Fix docstrings

* Address comments

* Address more comments

* Address more comments

* Address more comments, fix test

* Fix test

* fixing name position_embeddings to object_queries

* [fix] renaming variable and docstring do object queries

* [fix] comment position_embedding to object queries

* [feat] changes from make-fix-copies to keep consistency

* Revert "[feat] changes from make-fix-copies to keep consistency"

This reverts commit 56e3e9ede1d32f7aeefba707ddfaf12c9b4b9e7e.

* [tests] fix wrong expected score

* [fix] wrong assignment causing wrong tensor shapes

* [fix] fixing position_embeddings to object queries to keep consistency (make fix copies)

* [fix] make fix copies, renaming position_embeddings to object_queries

* [fix] positional_embeddingss to object queries, fixes from make fix copies

* [fix] comments frmo make fix copies

* [fix] adding args validation to keep version support

* [fix] adding args validation to keep version support -conditional detr

* [fix] adding args validation to keep version support - maskformer

* [style] make fixup style fixes

* [feat] adding args checking

* [feat] fixcopies and args checking

* make fixup

* make fixup

---------
Co-authored-by: Lorenzobattistela <lorenzobattistela@gmail.com>