GitLab

* add initial zero-shot pipeline

* change default args

* update default template

* add label string splitting

* add str labels support, remove nli from name

* style

* add input validation and working tf defaults

* tests

* quality check

* add docstring to __call__

* add slow tests

* Change truncation to only_first

also lower precision on tests for readibility

* style

* Fix the return documentation rendering for all model outputs

* Formatting

Add '-' to make the reference of Transformer-XL more accurate and formal.

* Add Adam beta1, beta2 to trainier

* Make style consistent

* Model card for Vamsi/T5_Paraphrase_Paws

* Update model_cards/Vamsi/T5_Paraphrase_Paws/README.md
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* don't complain about missing W&B when WANDB_DISABLED=true

* reformat to elif

* typo

Currently, it's hard to derive which example tests were run on CI, and which weren't. Adding `-rA` flag to `pytest`, will now include a summary like:

```
==================================================================== short test summary info =====================================================================
PASSED examples/test_examples.py::ExamplesTests::test_generation
PASSED examples/test_examples.py::ExamplesTests::test_run_glue
PASSED examples/test_examples.py::ExamplesTests::test_run_language_modeling
PASSED examples/test_examples.py::ExamplesTests::test_run_squad
FAILED examples/test_examples.py::ExamplesTests::test_run_pl_glue - AttributeError: 'Namespace' object has no attribute 'gpus'
============================================================ 1 failed, 4 passed, 8 warnings in 42.96s ============================================================
```
which makes it easier to validate whether some example is being covered by CI or not.

cc @rdenadai

* Update README.md

* Update model_cards/mrm8488/RuPERTa-base/README.md
Co-authored-by: Julien Chaumond <chaumond@gmail.com>
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* Create README.md

* Update README.md

* Update model_cards/rdenadai/BR_BERTo/README.md
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* Update model_cards/rdenadai/BR_BERTo/README.md
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* [model_cards] roberta-base-finetuned-yelp-polarity

* Update model_cards/VictorSanh/roberta-base-finetuned-yelp-polarity/README.md
Co-authored-by: Julien Chaumond <chaumond@gmail.com>
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* Ensure OpenAI GPT position_ids is correctly initialized and registered as buffer at init.

This will make it compatible with TorchScript export.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Fix missing slice operator on the tensor data accessor.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Style.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Fixed BertEmbedding position_ids buffer created at forward.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Fixed MobileBertEmbedding position_ids buffer created at forward.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Fixed XLM position_ids buffer created at forward.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Document TF modeling utils

* Document all model utils

this removes the clutter line in the readme.md of model card `csarron/roberta-base-squad-v1`. It also fixes the result table.

* Avoid unnecessary warnings when loading pretrained model

* Fix test

* Add other keys to ignore

* keys_to_ignore_at_load -> authorized_missing_keys

* Describe usage of sentence model

* fix typo usage

* add use and description to readme

* fix typo in readme

* readme formatting

* add training procedure to readme

* description name and company

* readme formatting

* dataset training readme

* typo

* readme

* add: bert-base-uncased-squad-v1

* add: roberta-base-squad-v1

* Clean up Trainer and expose customization points

* Formatting

* eval_step -> prediction_step

* add mobilebert-uncased-squad-v2

* fix shell cmd, add creator info

* add mobilebert-uncased-squad-v1

* minor doc fixes

correct superclass name and small grammar fixes

* correct the instance name in the error message

It appears to be `BaseTokenizer` from looking at:

`from tokenizers.implementations import BaseTokenizer as BaseTokenizerFast`

and not `Tokenizer` as it currently says.

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

* T5 Model Cards

* Fix paths

* Fix tags

* lang-en

* Attempt to fix the way squad_convert_examples_to_features pad the elements for the QA pipeline.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

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

* Make the code easier to read and avoid testing multiple test the same thing.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* missing enum value on truncation_strategy.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Rethinking for the easiest fix: expose the padding strategy on squad_convert_examples_to_features.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Remove unused imports.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Update doc to new model outputs

* Fix outputs in quicktour