GitLab

* added args to the pipeline

* added test

* more sensical tests

* fixup

* docs

* typo
;

* docs

* made changes to support named args

* fixed test

* docs update

* styles

* docs

* docs

* fix

* fix

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

Enable multi-label image classification

* Add first draft

* Use appropriate gelu function

* More improvements

* More improvements

* More improvements

* Convert checkpoint

* More improvements

* Improve docs, remove print statements

* More improvements

* Add link

* remove unused masking function

* begin tokenizer

* do_lower_case

* debug

* set split_special_tokens=True

* Remove script

* Fix style

* Fix rebase

* Use same design as CLIP

* Add fast tokenizer

* Add SiglipTokenizer to init, remove extra_ids

* Improve conversion script

* Use smaller inputs in conversion script

* Update conversion script

* More improvements

* Add processor to conversion script

* Add tests

* Remove print statements

* Add tokenizer tests

* Fix more tests

* More improvements related to weight initialization

* More improvements

* Make more tests pass

* More improvements

* More improvements

* Add copied from

* Add canonicalize_text

* Enable fast tokenizer tests

* More improvements

* Fix most slow tokenizer tests

* Address comments

* Fix style

* Remove script

* Address some comments

* Add copied from to tests

* Add more copied from

* Add more copied from

* Add more copied from

* Remove is_flax_available

* More updates

* Address comment

* Remove SiglipTokenizerFast for now

* Add caching

* Remove umt5 test

* Add canonicalize_text inside _tokenize, thanks Arthur

* Fix image processor tests

* Skip tests which are not applicable

* Skip test_initialization

* More improvements

* Compare pixel values

* Fix doc tests, add integration test

* Add do_normalize

* Remove causal mask and leverage ignore copy

* Fix attention_mask

* Fix remaining tests

* Fix dummies

* Rename temperature and bias

* Address comments

* Add copied from to tokenizer tests

* Add SiglipVisionModel to auto mapping

* Add copied from to image processor tests

* Improve doc

* Remove SiglipVisionModel from index

* Address comments

* Improve docs

* Simplify config

* Add first draft

* Make it like mistral

* More improvements

* Fix attention_mask

* Fix output_attentions

* Add note in docs

* Convert multilingual model

* Convert large checkpoint

* Convert more checkpoints

* Add pipeline support, correct image_mean and image_std

* Use padding=max_length by default

* Make processor like llava

* Add code snippet

* Convert more checkpoints

* Set keep_punctuation_string=None as in OpenCLIP

* Set normalized=False for special tokens

* Fix doc test

* Update integration test

* Add figure

* Update organization

* Happy new year

* Use AutoModel everywhere

---------
Co-authored-by: patil-suraj <surajp815@gmail.com>

When running the case on multi-cards server with devcie_map-auto, It will not always be allocated to device 0,
Because other processes may be using these cards. It will select the devices that can accommodate this model.
Signed-off-by: yuanwu <yuan.wu@intel.com>

* fix frames

* use smaller chunk length

* correct beam search + tentative stride

* fix whisper word timestamp in batch

* add test batch generation with return token timestamps

* Apply suggestions from code review
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* clean a test

* make style + correct typo

* write clearer comments

* explain test in comment

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

* fix hf-internal-testing/fixtures_image_utils

* fix test

* comments

* Add a convenience method for building in your own name scope

* Second attempt at auto layer building

* Revert "Second attempt at auto layer building"

This reverts commit e03a3aaecf9ec41a805582b83cbdfe3290a631be.

* Attempt #3

* Revert "Attempt #3"

This reverts commit b9df7a0857560d29b5abbed6127d9e9eca77cf47.

* Add missing attributes that we're going to need later

* Add some attributes we're going to need later

* A fourth attempt! Feel the power flow through you!

* Revert "A fourth attempt! Feel the power flow through you!"

This reverts commit 6bf4aaf3875d6f28485f50187617a4c616c8aff7.

* Add more values we'll need later

* TF refactor that we'll need later

* Revert "TF refactor that we'll need later"

This reverts commit ca07202fb5b7b7436b893baa8d688b4f348ea7b9.

* Revert "Revert "TF refactor that we'll need later""

This reverts commit 1beb0f39f293ed9c27594575e1c849aadeb15c13.

* make fixup

* Attempt five!

* Revert "Attempt five!"

This reverts commit 3302207958dfd0374b0447a51c06eea51a506044.

* Attempt six - this time don't add empty methods

* Revert "Attempt six - this time don't add empty methods"

This reverts commit 67d60129be75416b6beb8f47c7d38d77b18d79bb.

* Attempt seven - better base model class detection!

* Revert "Attempt seven - better base model class detection!"

This reverts commit 5f14845e92ea0e87c598da933bfbfee10f553bc9.

* Another attribute we'll need later

* Try again with the missing attribute!

* Revert "Try again with the missing attribute!"

This reverts commit 760c6f30c5dffb3e04b0e73c34a77d1882a0fef7.

* This is the attempt that will pierce the heavens!

* Revert "This is the attempt that will pierce the heavens!"

This reverts commit c868bb657de057aca7a5260350a3f831fc4dfee6.

* Attempt seven - snag list is steadily decreasing

* Revert "Attempt seven - snag list is steadily decreasing"

This reverts commit 46fbd975deda64429bfb3e5fac4fc0370c00d316.

* Attempt eight - will an empty snag list do it?

* Revert "Attempt eight - will an empty snag list do it?"

This reverts commit 7c8a3c2b083253649569e9877e02054ae5cec67b.

* Fixes to Hubert issues that cause problems later

* Trying again with Conv1D/SeparableConv fixes

* Revert "Trying again with Conv1D/SeparableConv fixes"

This reverts commit 55092bca952bc0f750aa1ffe246a640bf1e2036e.

* Apply the build shape fixes to Wav2Vec2 as well

* One more attempt!

* Revert "One more attempt!"

This reverts commit 5ac3e4cb01b9458cc93312873725f9444ae7261c.

* Another attempt!

* Revert "Another attempt!"

This reverts commit ea16d890e019d7de8792a3b8e72f3b1c02adae50.

* Let's see how many failures we get without the internal build method

* Fix OpenAI

* Fix MobileBERT

* (Mostly) fix GroupVIT

* Fix BLIP

* One more BLIP fix

* One more BLIP fix!

* Fix Regnet

* Finally fully fix GroupViT

* Fix Data2Vec and add the new AdaptivePool

* Fix Segformer

* Fix Albert

* Fix Deberta/DebertaV2

* Fix XLM

* Actually fix XLM

* Fix Flaubert

* Fix lxmert

* Fix Resnet

* Fix ConvBERT

* Fix ESM

* Fix Convnext / ConvnextV2

* Fix SAM

* Fix Efficientformer

* Fix LayoutLMv3

* Fix speech_to_text

* Fix mpnet and mobilevit

* Fix Swin

* Fix CTRL

* Fix CVT

* Fix DPR

* Fix Wav2Vec2

* Fix T5

* Fix Hubert

* Fix GPT2

* Fix Whisper

* Fix DeiT

* Fix the encoder-decoder / dual-encoder classes

* make fix-copies

* build in name scope

* Fix summarization test

* Fix tied weight names for BART + Blenderbot

* Fix tied weight name building

* Fix to TFESM weight building

* Update TF SAM

* Expand all the shapes out into Big Boy Shapes

* fix

* fix

* fix

* fix

* fix

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

* add model like

* logits match

* minor fixes

* fixes

* up

* up

* add todo

* llava processor

* keep the processor simple

* add conversion script

* fixup

* fix copies

* up

* add to index

* fix config + logits

* fix

* refactor

* more refactor

* more refactor

* fix copies

* add authors

* v1 tests

* add `LlavaProcessor` in init

* remove unneeded import

* up

* up

* docs

* up

* fix CI

* fix CI

* add attention  mask in test

* make fixup

* remove the vision model

* that' s the dirty way to do it

* nits

* nits

* updates

* add more tests

* add input tests

* fixup

* more styling

* nits

* updates amd cleanup

* fixup the generation expected results

* fix the testing script

* some cleanup and simplification which does not work yet but almost there!

* make correct dispatch operations

* vectorize works for batch of images and text

* last todos

* nits

* update test and modeling code

* remove useless function for now

* fix few issues

* fix generation

* some nits

* add bakllava

* nits

* remove duplicated code

* finis merge

* cleanup

* missed this line

* fill the todos

* add left padding offset

* add left and rignt padding logic

* bool to properly index

* make sure

* more cleanups

* batch is fixed 😉



* add correct device for tensor creation

* fix some dtype missmatch

* ruff

* update conversion script

* Update src/transformers/__init__.py

* fa 2 support + fix conversion script

* more

* correct reshaping

* fix test dict

* fix copies by ignoring

* fix nit

* skip clip vision model

* fixup

* fixup

* LlavaForVisionText2Text -> LlavaForCausalLM

* update

* fix

* raise correct errors

* fix

* docs

* nuke for now

* nits here and there

* fixup

* fix remaining tests

* update LlavaForConditionalGeneration instead of CausalLM

* fixups

* pipeline support

* slow and piepline tests

* supports batch

* nits

* cleanup

* fix first integration tests

* add pad token where needed

* correct etsts

* fixups

* update pipeline testr

* fix quality

* nits

* revert unneeded change

* nit

* use BatchFeature

* from ...feature_extraction_utils import BatchFeature

* nits

* nits

* properly update

* more f*** nits

* fix copies

* comment

* keep slow test slow

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

* add piepline example

* add pixel values in docstrign

* update pr doctest

* fix

* fix slow tests

* remove hack

* fixup

* small note

* forward contrib credits from PR25789

* forward contrib credits from original implementation and work

* add arthur

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

* update docstring

* nit

* move to not doctested because of timeout issues

* fixup

* add description

* more

* fix-copies

* fix docs

* add beam search

* add more comments

* add typehints on processor

* add speedup plot

* update slow tests and docs

* push test

* push batched test

* fix batched generation with different number of images

* remove benchmark due to a bug

* fix test

* fix copies

* add gcolab demo

---------
Co-authored-by: Arthur Zucker <arthur.zucker@gmail.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: shauray8 <shauray8@users.noreply.github.com>
Co-authored-by: haotian-liu <haotian-liu@users.noreply.github.com>
Co-authored-by: Lysandre Debut <hi@lysand.re>

* update

* fix

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

* [Whisper] Add seq gen

* [Whisper] Add seq gen

* more debug

* Fix whisper logit processor

* Improve whisper code further

* Fix more

* more debug

* more debug

* Improve further

* Add tests

* Prep for batch size > 1

* Get batch_size>1 working

* Correct more

* Add extensive tests

* more debug

* more debug

* more debug

* add more tests

* more debug

* Apply suggestions from code review

* more debug

* add comments to explain the code better

* add comments to explain the code better

* add comments to explain the code better

* Add more examples

* add comments to explain the code better

* fix more

* add comments to explain the code better

* add comments to explain the code better

* correct

* correct

* finalize

* Apply suggestions from code review

* Apply suggestions from code review

* try to stylify using ruff

* might need to remove these changes?

* use ruf format andruff check

* use isinstance instead of type comparision

* use # fmt: skip

* use # fmt: skip

* nits

* soem styling changes

* update ci job

* nits isinstance

* more files update

* nits

* more nits

* small nits

* check and format

* revert wrong changes

* actually use formatter instead of checker

* nits

* well docbuilder is overwriting this commit

* revert notebook changes

* try to nuke docbuilder

* style

* fix feature exrtaction test

* remve `indent-width = 4`

* fixup

* more nits

* update the ruff version that we use

* style

* nuke docbuilder styling

* leve the print for detected changes

* nits

* Remove file I/O
Co-authored-by: charliermarsh <charlie.r.marsh@gmail.com>

* style

* nits

* revert notebook changes

* Add # fmt skip when possible

* Add # fmt skip when possible

* Fix

* More `  # fmt: skip` usage

* More `  # fmt: skip` usage

* More `  # fmt: skip` usage

* NIts

* more fixes

* fix tapas

* Another way to skip

* Recommended way

* Fix two more fiels

* Remove asynch
Remove asynch

---------
Co-authored-by: charliermarsh <charlie.r.marsh@gmail.com>

* Set usedforsecurity=False in hashlib methods (FIPS compliance)

* trigger ci

* tokenizers version

* deps

* bump hfh version

* let's try this

* Fix RequestCounter to make it more future-proof

* code quality

* [Whisper] Block language/task args for English-only

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

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

* enrich TTS pipeline docstring for clearer forward_params use

* change token leghts

* update Pipeline parameters

* correct docstring and make style

* fix tests

* make style

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

* Apply suggestions from code review
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* raise errors if generate_kwargs with forward-only models

* make style

---------
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Backward compatibility fix for the Conversation class

* Explain what's going on in the conditional

* device agnostic pipelines testing

* pass torch_device

* Shorten the conversation tests for speed + fixing position overflows

* Put max_new_tokens back to 5

* Remove test skips

* Increase max_position_embeddings in blenderbot tests

* Add skips for blenderbot_small

* Correct TF test skip

* make fixup

* Reformat skips to use is_pipeline_test_to_skip

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

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

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

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

* Fix and re-enable conversationalpipeline tests

* Fix the batch test so the change only applies to conversational pipeline

Add missing spaces in adjacent strings

* add tokenizer kwarg inputs

* Adding tokenizer_kwargs to _sanitize_parameters

* Add truncation=True example to tests

* Update test_pipelines_fill_mask.py

* Update test_pipelines_fill_mask.py

* make fix-copies and make style

* Update fill_mask.py

Replace single tick with double

* make fix-copies

* Style

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

* Update tiny model summary file

* add to pipeline tests

* revert

* fix import

* fix import

* fix

* fix

* update

* update

* update

* fix

* remove BarkModelTest

* fix

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

* Add image to image pipeline

Add image to image pipeline

* remove swin2sr from tf auto

* make ImageToImage importable

* make style

make style

make style

make style

* remove tf support

* remove nonused imports

* fix postprocessing

* add important comments; add unit tests

* add documentation

* remove support for TF

* make fixup

* fix typehint Image.Image

* fix documentation code

* address review request; fix unittest type checking

* address review request; fix unittest type checking

* make fixup

* address reviews

* Update src/transformers/pipelines/image_to_image.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* enhance docs

* make style

* make style

* improve docetest time

* improve docetest time

* Update tests/pipelines/test_pipelines_image_to_image.py
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>

* Update tests/pipelines/test_pipelines_image_to_image.py
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>

* make fixup

* undo faulty merge

* undo faulty merge

* add image-to-image to test pipeline mixin

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

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

* improve docs

---------
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* 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>

Add BlenderbotSmall templates and correct handling for conversation.past_user_inputs

* 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

---------
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

---------
Co-authored-by: Arthur <48595927+ArthurZucker@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>

* start with error too

* fix ?

* start with nit

* one more path

* use `job_name`

* mark pipeline test as slow

* [Wav2Vec2 Conformer] Fix inference float16

* fix test

* fix test more

* clean pipe test

* [VITS] Add to TTA pipeline

* Update tests/pipelines/test_pipelines_text_to_audio.py
Co-authored-by: Yoach Lacombe <52246514+ylacombe@users.noreply.github.com>

* remove extra spaces

---------
Co-authored-by: Yoach Lacombe <52246514+ylacombe@users.noreply.github.com>

* Save image_processor while saving pipeline (ImageSegmentationPipeline)

* Fix black issues

* Add Blip2 model in VQA pipeline

* use require_torch_gpu for test_large_model_pt_blip2

* use can_generate in vqa pipeline

* test Blip2ForConditionalGeneration using float16

* remove custom can_generate from Blip2ForConditionalGeneration

* nit

* update

* make sure use_default_system_prompt is saved

* update checkpointing

* consistency

* use_default_system_prompt for test

* add AutoModelForTextToSpeech class

* add TTS pipeline and tessting

* add docstrings to text_to_speech pipeline

* fix torch dependency

* corrector 'processor is None' case in Pipeline

* correct repo id

* modify text-to-speech -> text-to-audio

* remove processor

* rename text_to_speech pipelines files to text_audio

* add textToWaveform and textToSpectrogram instead of textToAudio classes

* update TTS pipeline to the bare minimum

* update tests TTS pipeline

* make style and erase useless import torch in TTS pipeline tests

* modify how to check if generate or forward in TTS pipeline

* remove unnecessary extra new lines

* Apply suggestions from code review
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* refactor input_texts -> text_inputs

* correct docstrings of TTS.__call__

* correct the shape of generated waveform

* take care of Bark tokenizer special case

* correct run_pipeline_test TTS

* make style

* update TTS docstrings

* address Sylvain nit refactors

* make style

* refactor into one liners

* correct squeeze

* correct way to test if forward or generate

* Update output audio waveform shape

* make style

* correct import

* modify how the TTS pipeline test if a model can generate

* align shape output of TTS pipeline with consistent shape

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