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* Automatically sort auto mappings

* Better class extraction

* Some auto class magic

* Adapt test and underlying behavior

* Remove re-used config

* Quality

* Fix edge cases TypeError: 'NoneType' object is not callable

* fix style

* add pretokenization arguments

* add pretokenization script

* add support for pretokenized data

* reformat code

* fix run command for training

* fix model call from config

* remove a package

* add comments on pretokenization in the readme

* remove explicit parallelization
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* update readme
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* update readme -remove username
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* update readme -remove username
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* keep data parallelization

* reformat code

* reformat code

* update readme

* reformat code

* Update examples/research_projects/codeparrot/README.md
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* add new preprocessing arguments

* add new filters

* add new filters to readme

* fix config and test count, update function names and docstrings

* reformat code

* update readme

* Update readme

* rename config_test filter
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* rename few_assignments filter
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* rename tokenizer in arguments
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* rename functions and add limit_line argument for config_test filter

* update threshold for config_test filter
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* adding partial checkpoint support for optimizer state

* formatted trainer.py

* Refactoring based on comments

* reformatting

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* Update src/transformers/trainer.py
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* Apply suggestions from code review
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* fixed bug run_mlm_flax_stream.py

Fixed bug caused by an update to tokenizer keys introduced in recent transformers versions (between `4.6.2` and `4.18.0`) where additional keys were introduced to the tokenizer output.

* Update run_mlm_flax_stream.py

* adding missing paranthesis

* formatted to black

* remove cols from dataset instead

* reformat to black

* moved rem. columns to map

* formatted to black
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* [doc] performance/scalability revamp

* link the new docs

* no :

* mixed precision

* work on the first doc

* expand the main doc

* Trigger CI

* style

* revamp single GPU training section

* work on training performance

* remove files not used anymore or will be added later

* final touches

* fix rebase

* Add hardware section to toctree

* fix toctree again

* Apply suggestions from code review
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* remove `fast_tokenizers` entry that was copied in rebase

* add warning about DP vs DDP

* remove todo

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* fix missing closure of codeblock

* Update docs/source/en/perf_train_gpu_many.mdx
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* sync with #16860

* update toc
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Change config.encoder_ffn_dim -> config.decoder_ffn_dim for decoder.

* file copied and toctree updated

* Intro and configuration translated

* model section translated

* enter hotfix

* Translation over, correction pending

* Typos and corrections

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* Translated version of model_sharing to spanish

* Update docs/source_es/model_sharing.mdx

* Update docs/source_es/model_sharing.mdx

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* Update docs/source_es/model_sharing.mdx

* Update docs/source_es/model_sharing.mdx

* Update docs/source_es/model_sharing.mdx

* Update docs/source_es/model_sharing.mdx

* Update docs/source_es/model_sharing.mdx

* Update docs/source_es/model_sharing.mdx

* Update docs/source_es/model_sharing.mdx

* Update docs/source_es/model_sharing.mdx

* Update docs/source_es/model_sharing.mdx

* Update docs/source_es/model_sharing.mdx

* Update docs/source_es/model_sharing.mdx

* Update docs/source_es/model_sharing.mdx

* Update docs/source_es/model_sharing.mdx

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* Update docs/source_es/model_sharing.mdx

* Update docs/source_es/model_sharing.mdx

* Update docs/source_es/model_sharing.mdx

* Update docs/source_es/model_sharing.mdx

* Update docs/source_es/model_sharing.mdx

* Addind model sharing to _toctree.yml
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* [ fast_tokenizers.mdx ] - Added translation to portuguese to tutorial

* Delete docs/source/pt-br directory

* [ fast_tokenizers.mdx ] - Continuing work on file

* [ fast_tokenizers.mdx ] - Continuing work on file

* Add fast tokenizers to _toctree.yml

* Eliminated config and toctree.yml

* Nits in fast_tokenizers.mdx
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* add PR title to push CI report

* add link
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* update push ci

* install git-python

* update comment

* update deepspeed jobs

* fix report

* skip 2 more tests that require fairscale

* Fix changes in test_fetcher.py (to deal with `setup.py` is changed)

* set RUN_PT_TF_CROSS_TESTS=1 and final clean-up

* remove SIGOPT_API_TOKEN

* remove echo "$matrix_folders"
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* correct some stuff

* fix doc tests

* make style

* try fixes

* Revert "try fixes"

This reverts commit a8ad75ef69d4fc03a402ef61bd034b018aa8555e.

* add correct shape

* add correct path

* Added translation of installation.mdx to Portuguese, as well
as default templates of _toctree.yml and _config.py

* [ build_documentation.yml ] - Updated doc_builder to build
documentation in Portuguese.
[ pipeline_tutorial.mdx ] - Created translation for the pipeline_tutorial.mdx.

* [ build_pr_documentation.yml ] - Added pt language to pr_documentation builder.

[ pipeline_tutorial.mdx ] - Grammar changes.

* [ accelerate.mdx ] - Translated to Portuguese the acceleration tutorial.

* [ multilingual.mdx ] - Added portuguese translation for multilingual tutorial.

[ training.mdx ] - Added portuguese translation for training tutorial.

* [ preprocessing.mdx ] - WIP

* Update _toctree.yml

* Adding Pré-processamento to _toctree.yml

* Update accelerate.mdx

* Nits and eliminate preprocessing file while it is ready
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* Fix typo

* Force rerun workflows
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* Black preview

* Fixup too!

* Fix check copies

* Use the same version as the CI

* Bump black

* Add test to ensure models can take int64 inputs

* is_integer is an attribute, not a method

* Fix test when some inputs aren't tensors

* Add casts to blenderbot and blenderbot-small

* Add casts to the other failing models

* Update data2vec.mdx

* Update data2vec.mdx

* Update docs/source/en/model_doc/data2vec.mdx
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## Motivation

We are going to use a new blob account to store the checkpoints.

## Modification

Modify the azure blob storage URLs for BEiT checkpoints.

* First version - OPT model

* Final changes

- putting use cache to False

* few changes

- remove commented block

* few changes

- remove unecessary files

* fix style issues

* few changes

- remove a test file
- added the logits test

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

* add gen tests

* few changes

- rm mask filling example on docstring

* few changes

- remove useless args

* some changes

- more tests should pass now
- needs to clean more
- documentation still needs to be done

* fix code quality

* major changes

- change attention architecture to BART-like
- modify some tests
- style fix

* rm useless classes

- remove opt for:
- QA
- cond generation
- seq classif

* Removed autodoc calls to non-existant classes

TOkenizers are not implemented

* Update src/transformers/__init__.py
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* Update src/transformers/__init__.py
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* Update src/transformers/models/auto/modeling_tf_auto.py
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* Replaced OPTTokeniser with GPT2 tokenizer

* added GPT2Tokenizer.from_pretrained("patrickvonplaten/opt_gpt2_tokenizer")

* Removed OPTTokenizer

* make style

* Make style replaces

``` ...).unsqueeze(```
by
``` >>>).unsqueeze(```

* make repo consistency

* Removed PretrainedOPTModel

* fix opt.mdx removed other heads

* fix init, removed 3 heads

* removed heads

* finished cleaning head

* removed seauence classif and question answering

* removed unused imports

* removed useless dummy object for QA, SC and CG

* removed tests for removed useless dummy object for QA, SC and CG

* Removed head_mask using encoder layers which don't exist

* fixed test

* fix line

* added OPT to toctree

* Updated model path with pushed weigths

* fix model path

* fixed code quality

* fixed embeddings and generation tests

* update paths

* clean comments

* removed OPTClassificationHead for sentence classification

* renamed hidden layer

* renamed num layers to standard num_hidden_layers

* num_attention_heads fix

* changes for 125m

* add first version for 125m

* add first version - flax

* add new version

* causal LM output

* replace output type with BaseModelOutputWithPastAndCrossAttentions

* revert working config from 150m to 350m

* clean

* removed decoder input ids

* fixed embed dim

* more embed_dim issues

* make style + removed enc_dec test

* update falx model

* removed troublesome copy

* added is_encoder_decoder=False to config

* added set_input emb fuinction to model class

* requires torch on embed test

* use head mask instead of decoder head mask input param solves a test

* 8 test remaining, update

* Updated create_and_check_decoder_model_past_large_inputs

* Make style

* update op tokenizer with condition

* make style

* See if I can push

* some clean up

* remove linear head hack

* save intermediate

* save correct attention

* add copied from from bart

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

* fix part of the reviewss
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* same changes in naming / conversion

* correct mask

* more fixes

* delete FlaxOPT and TfOPT

* clean traces of Flax and Tf

* fix mask

* fixed positionnal embedding length when past key value is provoded

* get 125m, 6.7b to work

* Added do_layer_norm

* solved mismatch in load dictionnary

* clean up preapre opt input dict

* fixed past key value as bool

* fix previus

* fixed return dict False tuple issue

* All tests are passing

* Make style

* Ignore OPTDecoder non tested

* make fix-copies

* make repo consistency

* small fix

* removed uselss @torch.no_grad decorator

* make styl;e

* fix previous opt test

* style

* make style

* added opt documentation

* update OPT_PRETRAINED_MODEL_ARCHIVE_LIST

* up

* more fixes

* model & config work

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

* added comment on padding hack (+2)

* cleaup

* review update

* docstring for missing arg

* Update docs/source/en/model_doc/opt.mdx
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* Update docs/source/en/model_doc/opt.mdx
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* Update docs/source/en/model_doc/opt.mdx
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* Update src/transformers/models/opt/__init__.py
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* update pretrained map

* update path and tests

* make style

* styling

* make consistency

* add gpt2 tok new

* more tok fixes

* Update src/transformers/models/auto/tokenization_auto.py

* Update docs/source/en/model_doc/opt.mdx
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* Update docs/source/en/model_doc/opt.mdx
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* Update docs/source/en/model_doc/opt.mdx
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* Update src/transformers/models/opt/modeling_opt.py
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* Update tests/models/opt/test_modeling_opt.py
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* Update src/transformers/models/opt/modeling_opt.py
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* Update src/transformers/models/opt/modeling_opt.py
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* Update src/transformers/models/opt/modeling_opt.py
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* Update src/transformers/models/opt/modeling_opt.py
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* Update src/transformers/models/opt/modeling_opt.py
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* Update based on reviews

* Apply suggestions from code review
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* make style

* make tokenizer auto tests pass

* apply Lysandre suggestion

* finish tests

* add some good tokenizer tests

* improve docs slighly
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* Support tracing for ViT

* Swin support

* Fix copies

* Fix type annotation issue

* Removed unused import

* Fix contents in index.mdx to match docs' sidebar

* Eliminates api section from contents

* Change nits in Spanish for quicktour.mdx

- Add tasks names in English too.
- Fix small nits in Spanish

* Translate index.mdx to Spanish

* Translate body of index.
* Translated the compatible models list (not the papers´ names). Since this should not be updated manually, I can come back to the original text.

* Add models and a  dataset for Spanish in the code exmaples

* Replaced the English models to Spanish versions.

* Add index to _toctree.yml and fix Spanish

* Fix double ““ error

* Change negative example in ASR example

* make style

* Debug style in quicktour.mdx

* Spanish translation of fast_tokenizers.mdx

* add fast_tokenizers to the spanish _toctree.yml

* Update docs/source/es/fast_tokenizers.mdx
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* Spanish version of language_modeling.mdx doc file

* modification to toctree.yml file

* Update docs/source/es/language_modeling.mdx
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* Correct position of Guías conceptuales
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* adding philosophy.mdx translation to Spanish

* adding philosophy.mdx translation to Spanish

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* philosophy translation to Spanish

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* Update _toctree.yml

* nits
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