GitLab

* Instantiate model only once in pipeline

* Remove documentation of deprecated method

* Add FutureWarning

* Update src/transformers/pipelines/base.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Add ImageFeatureExtractionMixin

* Add dummy vision objects

* Add require_vision

* Add tests

* Fix test

* Added embeddings layer

* Added layoutlm layers, main model, maskedlm and token classification classes

* Added model classes to tf auto models

* Added model to PT to TF conversion script

* Added model to doc README

* Added tests

* Removed unused imports

* Added layoutlm model, test, and doc for sequence classification, and fix imports in __init__.py

* Made tests pass!

* Fixed typos in imports and docs

* Fixed a typo in embeddings layer

* Removed imports

* Fixed formatting issues, imports, tests

* Added layoutlm layers, main model, maskedlm and token classification classes

* Added model classes to tf auto models

* Added model to PT to TF conversion script

* Removed unused imports

* Added layoutlm model, test, and doc for sequence classification, and fix imports in __init__.py

* Made tests pass!

* Fixed typos in imports and docs

* Removed imports

* Fixed small formatting issues

* Removed duplicates import from main __init__.py

* Chnaged deafult arg to true for adding  pooling layer to tf layoutlm

* Fixed formatting issues

* Style

* Added copied from to classes copied from bert

* Fixed doc strings examples to work with layoutlm inputs

* Removed PyTorch reference in doc strings example

* Added integration tests

* Cleaned up initialization file

* Updated model checkpoint identifiers

* Fixed imports
Co-authored-by: Amir Tahmasbi <amir@ehsai.ca>
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>

* Remove version warning in pretrained BART models

* Put it at the base model

* Removes overflowing bad word IDs

* Raise warning

the orignal code in line 246 is
```
tokenizer: Optional["PreTrainedTokenizerBase"] = None,
```

it should be
```
tokenizer: Optional[PreTrainedTokenizerBase] = None,
```

* rewrote is_sagemaker_model_parallel_available

* added is_sagemaker_model_parallel_available to SageMakerTrainer

* removed unnecessary mp_parameters as TrainingArguments

* make style happy

* added mp_parameters again to parse mp-specific args.

* import refactor

* fix the fallback

* push

* finish

* finish

* make fix copies

* change name

* Modify the _hp_search_setup method on the Trainer class to handle the wandb argument passed by Ray Tune to model config.

* Reformat single quotes as double quotes.

* feat: ensure unique artifact id

* feat: allow manual init

* fix: simplify reinit logic

* fix: no dropped value + immediate commits

* fix: wandb use in sagemaker

* docs: improve documenation and formatting

* fix: typos

* docs: improve formatting

Add simple one character fix so that on_step_begin and on_step_end are called at the right times (#10839)

* Initial script

* Add script to properly sort imports in init.

* Add to the CI

* Update utils/custom_init_isort.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Separate scripts that change content from quality

* Move class_mapping_update to style_checks
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* add uuid.hext to user_agent

* add log

* changed order of it

* renamed as session id

* renamed variable

* reverted naming of the const

* fix backend tokenizer args override: key mismatch

* no touching the docs

* fix mpnet

* add mpnet to test

* fix test
Co-authored-by: theo <theo@matussie.re>

* Fix distributed evaluation

* Use logger

* Added check to ensure model name passed to from_pretrained and model are the same

* Added test to check from_pretrained throws assert error when passed an incompatiable model name

* Modified assert in from_pretrained with f-strings. Modified test to ensure desired assert message is being generated

* Added check to ensure config and model has model_type

* Fix FlauBERT heads

Co-authored-by: vimarsh chaturvedi <vimarsh chaturvedi>
Co-authored-by: Stas Bekman <stas@stason.org>
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>

* do not gobble certain kinds of requests.ConnectionError

* Apply review comments
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>

This commit fixes a bug in the LengthGroupSampler where if
model_input_name is not set, the default value is None instead of
"input_ids"

* wav2vec2: support datasets other than LibriSpeech

* Formatting run_asr.py to pass code quality test

* bundled orthography options and added verbose logs

* fixing a typo in timit fine-tuning script

* update comment for clarity

* resize_lm_head and load custom vocab from file

* adding a max_duration_in_seconds filter

* do not assign `duration_filter` lambda, use a def

* log untransliterated text as well

* fix base model for arabic

* fix duration filter when target_sr is not set

* drop duration_in_seconds when unneeded

* script for wav2vec2-large-lv60-timit-asr

* fix for "tha" in arabic corpus (huggingface#10581)

* adding more options to work with common_voice

* PR feedback (huggingface#10581)

* small README change

* Create modeling_flax_eletra with code copied from modeling_flax_bert

* Add ElectraForMaskedLM and ElectraForPretraining

* Add modeling test for Flax electra and fix naming and arg in Flax Electra model

* Add documentation

* Fix code style

* Create modeling_flax_eletra with code copied from modeling_flax_bert

* Add ElectraForMaskedLM and ElectraForPretraining

* Add modeling test for Flax electra and fix naming and arg in Flax Electra model

* Add documentation

* Fix code style

* Fix code quality

* Adjust tol in assert_almost_equal due to very small difference between model output, ranging 0.0010 - 0.0016

* Remove redundant ElectraPooler

* save intermediate

* adapt

* correct bert flax design

* adapt roberta as well

* finish roberta flax

* finish

* apply suggestions

* apply suggestions
Co-authored-by: Chris Nguyen <anhtu2687@gmail.com>

Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Added debug prints

* Added config

* Added prints

* Added prints

* Added extra samples to SequentialDistributedSampler

* Added extra samples to SequentialDistributedSampler

Updated SequentialDistributedSampler call

* Added deubg prints

* Removed extra prints

* Making predicitons and labels multiple of batchsize

* updated number of microbatches

* Removed extra prints

* Made start_remainder similar to DistributedSamplerWithLoop

* Minor spacing update

* Added debug prints

Added config

Added prints

Added prints

* Added extra samples to SequentialDistributedSampler

Updated SequentialDistributedSampler call

Added extra samples to SequentialDistributedSampler

Added deubg prints

Removed extra prints

Making predicitons and labels multiple of batchsize

updated number of microbatches

Removed extra prints

Squashing redundant commits

* Made start_remainder similar to DistributedSamplerWithLoop

Minor spacing update

Made start_remainder similar to DistributedSamplerWithLoop

* Test and styling

* Rename test
Co-authored-by: Sylvain Gugger <sylvain.gugger@gmail.com>

* Apply black before checking copies

* Fix for class methods

* Deal with lonely brackets

* Remove debug and add forward changes

* Separate copies and fix test

* Add black as a test dependency

* deepspeed checkpoint loading code plus tests

* style

* style