GitLab

* PoC on RAG

* Format class name/obj name

* Better name in message

* PoC on one TF model

* Add PyTorch and TF dummy objects + script

* Treat scikit-learn

* Bad copy pastes

* Typo

'The class `AutoModelWithLMHead` is deprecated and will be removed in a future version. Please use `AutoModelForCausalLM` for causal language models, `AutoModelForMaskedLM` for masked language models and `AutoModelForSeq2SeqLM` for encoder-decoder models.'
I dont know how to change the 'How to use this model directly from the 🤗/transformers library:' part since it is not part of the model-paper

* docs(pretrained_models): fix num parameters

* fix(pretrained_models): correct typo
Co-authored-by: Amin <amin.geotrend@gmail.com>

* fix squad tokenization for roberta & co

* change to pure type based check

* sort imports

* 🚩 Add `power` argument for TF PolynomialDecay

* 🚩 Create default optimizer with power

* 🚩 Add argument to training args

* 🚨 Clean code format

* 🚨 Fix black warning

* 🚨 Fix code format

* Create README.md

* Update model_cards/ncoop57/bart-base-code-summarizer-java-v0/README.md
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* configuration_squeezebert.py

thin wrapper around bert tokenizer

fix typos

wip sb model code

wip modeling_squeezebert.py. Next step is to get the multi-layer-output interface working

set up squeezebert to use BertModelOutput when returning results.

squeezebert documentation

formatting

allow head mask that is an array of [None, ..., None]

docs

docs cont'd

path to vocab

docs and pointers to cloud files (WIP)

line length and indentation

squeezebert model cards

formatting of model cards

untrack modeling_squeezebert_scratchpad.py

update aws paths to vocab and config files

get rid of stub of NSP code, and advise users to pretrain with mlm only

fix rebase issues

redo rebase of modeling_auto.py

fix issues with code formatting

more code format auto-fixes

move squeezebert before bert in tokenization_auto.py and modeling_auto.py because squeezebert inherits from bert

tests for squeezebert modeling and tokenization

fix typo

move squeezebert before bert in modeling_auto.py to fix inheritance problem

disable test_head_masking, since squeezebert doesn't yet implement head masking

fix issues exposed by the test_modeling_squeezebert.py

fix an issue exposed by test_tokenization_squeezebert.py

fix issue exposed by test_modeling_squeezebert.py

auto generated code style improvement

issue that we inherited from modeling_xxx.py: SqueezeBertForMaskedLM.forward() calls self.cls(), but there is no self.cls, and I think the goal was actually to call self.lm_head()

update copyright

resolve failing 'test_hidden_states_output' and remove unused encoder_hidden_states and encoder_attention_mask

docs

add integration test. rename squeezebert-mnli --> squeezebert/squeezebert-mnli

autogenerated formatting tweaks

integrate feedback from patrickvonplaten and sgugger to programming style and documentation strings

* tiny change to order of imports

* Cleanup documentation for BART, Marian, MBART and Pegasus

* Cleanup documentation for BART, Marian, MBART and Pegasus

* LayoutLM: add exception handling for bbox values

To replicate unhandled error:

- In `test_modelling_layoutlm.py` set `range_bbox=1025`, i.e. greater 1024
- Run `pytest tests/test_modeling_layoutlm.py`

Requirement for bbox values to be within the range 0-1000 is documented
but if it is violated then it isa not clear what is the issue from error
message.

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

* Fix seq2seq example test

* Fix bad copy-paste

* Also save the state

* Trainer should not modify its TrainingArguments

* Trainer should not modify its TrainingArguments

* Trainer should not modify its TrainingArguments

* Add test of resumed training

* Fixes

* Non multiGPU test

* Clean Trainer state

* Add more to the state

* Documentation

* One last test

* Make resume training test more complete

* Unwanted changes

* clean T5

* fix t5 tests

* fix index typo

* fix tf common test

* fix examples

* change positional ordering for Bart and FSTM

* add signature test

* clean docs and add tests

* add docs to encoder decoder

* clean docs

* correct two doc strings

* remove sig test for TF Elektra & Funnel

* fix tf t5 slow tests

* fix input_ids to inputs in tf

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

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

* implement lysandre results

* make style

* fix encoder decoder typo

* fix tf slow tests

* fix slow tests

* renaming

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

* t5 t5 community notebook added

* author link updated

* t5 t5 community notebook added

* author link updated

* new colab link updated
Co-authored-by: harris <muhammad.harris@visionx.io>

Co-authored-by: Alexandr Maslov <avmaslov3@gmail.com>

* Create README.md

* language metadata
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

Model now fine-tuned on Transformers 3.1.0, previous out-of-date model was fine-tuned on Transformers 2.3.0.

Model card for akhooli/personachat-arabic

* Creating readme for bert-base-mongolian-cased

* Update model_cards/bayartsogt/bert-base-mongolian-cased/README.md
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

Making transformers readme more robust.

* Clean clamp

* boom boom

* Take some other changes

* boom boom

* boom boom

* boom boom

* one chg

* fix test

* Use finfo

* style