GitLab

* refine documentation for Tools

* + one bugfix

* pong TF prob

* fix

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

* Update Image segmentation description

* prompt -> label

* Metadata update

* Make fixup

* Improve docs

* correct tip format

* Apply suggestions from code review

* Apply suggestions from code review

* Apply suggestions from code review

* Correct grammer & spelling

* Improve code style

* make style ruff

* make style final

trainer parameters fixed

trainer parameters changed to save tokenizer in addition to feature_extractor

* Remove nestedness in tool config

* Really do it

* Use remote tools descriptions

* Work

* Clean up eval

* Changes

* Tools

* Tools

* tool

* Fix everything

* Use last result/assign for evaluation

* Prompt

* Remove hardcoded selection

* Evaluation for chat agents

* correct some spelling

* Small fixes

* Change summarization model (#23172)

* Fix link displayed

* Update description of the tool

* Fixes in chat prompt

* Custom tools, custom prompt

* Tool clean up

* save_pretrained and push_to_hub for tool

* Fix init

* Tests

* Fix tests

* Tool save/from_hub/push_to_hub and tool->load_tool

* Clean push_to_hub and add app file

* Custom inference API for endpoints too

* Clean up

* old remote tool and new remote tool

* Make a requirements

* return_code adds tool creation

* Avoid redundancy between global variables

* Remote tools can be loaded

* Tests

* Text summarization tests

* Quality

* Properly mark tests

* Test the python interpreter

* And the CI shall be green.

* fix loading of additional tools

* Work on RemoteTool and fix tests

* General clean up

* Guard imports

* Fix tools

* docs: Fix broken link in 'How to add a model...'  (#23216)

fix link

* Get default endpoint from the Hub

* Add guide

* Simplify tool config

* Docs

* Some fixes

* Docs

* Docs

* Docs

* Fix code returned by agent

* Try this

* Match args with signature in remote tool

* Should fix python interpreter for Python 3.8

* Fix push_to_hub for tools

* Other fixes to push_to_hub

* Add API doc page

* Docs

* Docs

* Custom tools

* Pin tensorflow-probability (#23220)

* Pin tensorflow-probability

* [all-test]

* [all-test] Fix syntax for bash

* PoC for some chaining API

* Text to speech

* J'ai pris des libertés

* Rename

* Basic python interpreter

* Add agents

* Quality

* Add translation tool

* temp

* GenQA + LID + S2T

* Quality + word missing in translation

* Add open assistance, support f-strings in evaluate

* captioning + s2t fixes

* Style

* Refactor descriptions and remove chain

* Support errors and rename OpenAssistantAgent

* Add setup

* Deal with typos + example of inference API

* Some rename + README

* Fixes

* Update prompt

* Unwanted change

* Make sure everyone has a default

* One prompt to rule them all.

* SD

* Description

* Clean up remote tools

* More remote tools

* Add option to return code and update doc

* Image segmentation

* ControlNet

* Gradio demo

* Diffusers protection

* Lib protection

* ControlNet description

* Cleanup

* Style

* Remove accelerate and try to be reproducible

* No randomness

* Male Basic optional in token

* Clean description

* Better prompts

* Fix args eval in interpreter

* Add tool wrapper

* Tool on the Hub

* Style post-rebase

* Big refactor of descriptions, batch generation and evaluation for agents

* Make problems easier - interface to debug

* More problems, add python primitives

* Back to one prompt

* Remove dict for translation

* Be consistent

* Add prompts

* New version of the agent

* Evaluate new agents

* New endpoints agents

* Make all tools a dict variable

* Typo

* Add problems

* Add to big prompt

* Harmonize

* Add tools

* New evaluation

* Add more tools

* Build prompt with tools descriptions

* Tools on the Hub

* Let's chat!

* Cleanup

* Temporary bs4 safeguard

* Cache agents and clean up

* Blank init

* Fix evaluation for agents

* New format for tools on the Hub

* Add method to reset state

* Remove nestedness in tool config

* Really do it

* Use remote tools descriptions

* Work

* Clean up eval

* Changes

* Tools

* Tools

* tool

* Fix everything

* Use last result/assign for evaluation

* Prompt

* Remove hardcoded selection

* Evaluation for chat agents

* correct some spelling

* Small fixes

* Change summarization model (#23172)

* Fix link displayed

* Update description of the tool

* Fixes in chat prompt

* Custom tools, custom prompt

* Tool clean up

* save_pretrained and push_to_hub for tool

* Fix init

* Tests

* Fix tests

* Tool save/from_hub/push_to_hub and tool->load_tool

* Clean push_to_hub and add app file

* Custom inference API for endpoints too

* Clean up

* old remote tool and new remote tool

* Make a requirements

* return_code adds tool creation

* Avoid redundancy between global variables

* Remote tools can be loaded

* Tests

* Text summarization tests

* Quality

* Properly mark tests

* Test the python interpreter

* And the CI shall be green.

* Work on RemoteTool and fix tests

* fix loading of additional tools

* General clean up

* Guard imports

* Fix tools

* Get default endpoint from the Hub

* Simplify tool config

* Add guide

* Docs

* Some fixes

* Docs

* Docs

* Fix code returned by agent

* Try this

* Docs

* Match args with signature in remote tool

* Should fix python interpreter for Python 3.8

* Fix push_to_hub for tools

* Other fixes to push_to_hub

* Add API doc page

* Fixes

* Doc fixes

* Docs

* Fix audio

* Custom tools

* Audio fix

* Improve custom tools docstring

* Docstrings

* Trigger CI

* Mode docstrings

* More docstrings

* Improve custom tools

* Fix for remote tools

* Style

* Fix repo consistency

* Quality

* Tip

* Cleanup on doc

* Cleanup toc

* Add disclaimer for starcoder vs openai

* Remove disclaimer

* Small fixed in the prompts

* 4.29

* Update src/transformers/tools/agents.py
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>

* Complete documentation

* Small fixes

* Agent evaluation

* Note about gradio-tools & LC

* Clean up agents and prompt

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Note about gradio-tools & LC

* Add copyrights and address review comments

* Quality

* Add all language codes

* Add remote tool tests

* Move custom prompts to other docs

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

* TTS tests

* Quality

---------
Co-authored-by: Lysandre <hi@lyand.re>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Philipp Schmid <32632186+philschmid@users.noreply.github.com>
Co-authored-by: Connor Henderson <connor.henderson@talkiatry.com>
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>
Co-authored-by: Lysandre <lysandre@huggingface.co>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

fix

Revert "[Doctests] Refactor doctests + add CI (#22987)"

This reverts commit 627f4479.

* intiial commit

* new styling

* update

* just run doctest in CI

* remove more test for fast dev

* update

* update refs

* update path and fetch upstream

* update documentatyion trests

* typo

* parse pwd

* don't check for files that are in hidden folders

* just give paths relative to transformers

* update

* update

* update

* major refactoring

* make sure options is ok

* lest test that mdx is tested

* doctest glob

* nits

* update doctest nightly

* some cleaning

* run correct test on diff

* debug

* run on a single worker

* skip_cuda_test tampkate

* updates

* add rA and continue on failure

* test options

* parse `py` codeblock?

* we don't need to replace ignore results, don't remember whyu I put it

* cleanup

* more cleaning

* fix arg

* more cleaning

* clean an todo

* more pre-processing

* doctest-module has none so extra `- ` is needed

* remove logs

* nits

* doctest-modules ....

* oups

* let's use sugar

* make dataset go quiet

* add proper timeout

* nites

* spleling timeout

* update

* properly skip tests that have CUDSA

* proper skipping

* cleaning main and get tests to run

* remove make report?

* remove tee

* some updates

* tee was removed but is the full output still available?

* [all-test]

* only our tests

* don't  touch tee in this PR

* no atee-sys

* proper sub

* monkey

* only replace call

* fix sub

* nits

* nits

* fix invalid syntax

* add skip cuda doctest env variable

* make sure all packages are installed

* move file

* update check repo

* revert changes

* nit

* finish cleanup

* fix re

* findall

* update don't test init files

* ignore pycache

* `-ignore-pycache` when running pytests

* try to fix the import missmatch error

* install dec

* pytest is required as doctest_utils imports things from it

* the only log issues were dataset, ignore results should work

* more cleaning

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

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

* [ydshieh] empty string if cuda is found

* [ydshieh] fix condition

* style

* [ydshieh] fix

* Add comment

* style

* style

* show failure

* trigger CI

---------
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Ratio option for `logging_steps`, `eval_steps`, `save_steps`

* Add guards if arguments are not set

* Add more detailed comments + formatting

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

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

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

* Convert args values to `int` if bigger than 1

* `black`

* `make fixup`

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

* Proposed fix for TF example now running on safetensors.

* Adding more warnings and returning keys.

* Trigger CI

* Trigger CI

---------
Co-authored-by: Sylvain Gugger <Sylvain.gugger@gmail.com>

* First draft of RWKV-4

* Add support for generate

* Style post-rebase

* Properly use state

* Write doc

* Fix doc

* More math

* Add model to README, dummies and clean config

* Fix init

* multiple fixes:

- fix common tests
- fix configuraion default values
- add CI test for checking state computation
- fix some CI tests

* correct tokenizer

* some tweaks

- fix config docstring
- fix failing tests

* fix CI tests

- add output_attention / output_hidden_states
- override test_initialization
- fix failing CIs

* fix conversion script

- fix sharded case
- add new arguments

* add slow tests + more fixes on conversion script

* add another test

* final fixes

* change single name variable

* add mock attention mask for pipeline to work

* correct eos token id

* fix nits

* add checkpoints

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

* add `tie_word_embeddings` in docstring

* change tensor name

* fix final nits

* Trigger CI

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

Co-authored-by: rustinwelter <rustinwelter.alwp9@slmails.com>

Call str on id to make sure any ints are converted into the expected format for squad datasets

make opt checkpoint dir name corrent following https://github.com/huggingface/Megatron-LM/blob/100b522bb8044d98413398f9e71563af15b83325/megatron/checkpointing.py#L117

* silly change to allow making a PR

* clean up doc comments

* simplify hertz_to_mel and mel_to_hertz

* fixup

* clean up power_to_db

* also add amplitude_to_db

* move functions

* clean up mel_filter_bank

* fixup

* credit librosa & torchaudio authors

* add unit tests

* tests for power_to_db and amplitude_to_db

* add mel_filter_bank tests

* rewrite STFT

* add convenience spectrogram function

* missing transpose

* fewer transposes

* add integration test to M-CTC-T

* frame length can be either window or FFT length

* rewrite stft API

* add preemphasis coefficient

* move argument

* add log option to spectrogram

* replace M-CTC-T feature extractor

* fix api thing

* replace whisper STFT

* replace whisper mel filters

* replace tvlt's stft

* allow alternate window names

* replace speecht5 stft

* fixup

* fix integration tests

* fix doc comments

* remove manual FFT length calculation

* fix docs

* go away, deprecation warnings

* combine everything into spectrogram function

* add deprecated functions back

* fixup

Add resources

* Pin tensorflow-probability

* [all-test]

* [all-test] Fix syntax for bash

fix link

fixing class embedding selection in owl-vit

* starcoder has joined the chat

* indexing that works for all

Fix hf_argparser.parse_json_file to open file with utf-8 encoding, close file when finished (#23194)

* Open json args in utf-8 encoding, close file when finished

* black formatted

* fix random attention usage for bigbird and pegasus_bigbird

* remove staticmethod, update tests target valus

* revert style changes

* Update docs with arxiv link

* Update llama model docs

* Add FlaxWhisperForAudioClassification model

* Add models to init

* Add models to init

* Fix copies

* Fix automapping

* Fix failing test

* Add run_mim_no_trainer.py draft from #20412

Add parse_args method and copy over other dependencies

Add Method call for sending telemetry

Initialize Accelerator

Make one log on every process

Set seed and Handle repository creation

Initialize dataset and Set validation split

Create Config

Adapt Config

Update Config

Create Feature Extractor

Create model

Set column names

Create transforms

Create mask generator

Create method to preprocess images

Shuffle datasets if needed and set transforms

Create Dataloaders

Add optimizer

Add learning rate scheduler

Prepare everything with our accelerator

Tie weights for TPU training

Recalculate training steps and training epochs

Set accelerator checkpointing steps

Initialize trackers and store configuration

Set total batch size

Fix typo: mlm -> mim

Log info at the start of training

Load in the weights and states from previous save

update the progress_bar if load from checkpoint

Define train loop

Add evaluation loop to training

Add to parse_args method

Push repo to hub

Save accelerator state

End training and save model and feature extractor

Remove unused imports

Fix trailing whitespace

* Update code based on comments, Rename feature_extractor to image_processor

* Fix linting

* Add argument for learning rate

* Add argument for setting number of training epochs

* Remove incorrect logger argument

* Convert max_train_steps to int for tqdm

---------
Co-authored-by: Saad Mahmud <shuvro.mahmud79@gmail.com>

* add fix

* address comments

* remove error formatting

* update doctree

* doc: ko: translate multiple choice

* Update reviews

* Add TrOCR resources

* Made fixes suggested by stevhliu

Revert "Add FlaxWhisperForAudioClassification model (#22883)"

This reverts commit c8f2c5c5.