GitLab

(the current way to submit a model card to have it displayed on the website is to open a PR on the `transformers` repo itself)

Thanks for sharing!

(the current way to submit a model card to have it displayed on the website is to open a PR on the `transformers` repo itself)

Thanks for sharing!

* Added readme for AraBERTv0.1

* Added readme to AraBERT

* fix conflits

* fixed naming bug

* make style

* Added transformers-pytorch-cpu and gpu Docker images
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Added automatic jupyter launch for Docker image.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Move image from alpine to Ubuntu to align with NVidia container images.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Added TRANSFORMERS_VERSION argument to Dockerfile.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Added Pytorch-GPU based Docker image
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Added Tensorflow images.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Use python 3.7 as Tensorflow doesnt provide 3.8 compatible wheel.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Remove double FROM instructions on transformers-pytorch-cpu image.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Added transformers-tensorflow-gpu Docker image.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* use the correct ubuntu version for tensorflow-gpu
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Added pipelines example notebook
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Added transformers-cpu and transformers-gpu (including both PyTorch and TensorFlow) images.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Docker images doesnt start jupyter notebook by default.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

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

* Update images links
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Update Docker images to python 3.7.6 and transformers 2.5.1
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Added 02-transformers notebook.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Trying to realign 02-transformers notebook ?
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Added Transformer image schema

* Some tweaks on tokenizers notebook

* Removed old notebooks.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Attempt to provide table of content for each notebooks
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

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

* Reintroduce transformer image.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

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

* It's going to fly !
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Remaining of the Table of Content
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Fix inlined elements for the table of content
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Removed anaconda dependencies for Docker images.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Removing notebooks ToC
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Added LABEL to each docker image.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Removed old Dockerfile
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Directly use the context and include transformers from here.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Reduce overall size of compiled Docker images.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Install jupyter by default and use CMD for easier launching of the images.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Reduce number of layers in the images.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Added README.md for notebooks.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Fix notebooks link in README
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Fix some wording issues.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Added blog notebooks too.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Addressing spelling errors in review comments.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
Co-authored-by: MOI Anthony <xn1t0x@gmail.com>

* fix beam_search behavior when sampling

* delete print

* make correct style

Adopted best practice set by @patrickvonplaten of commenting lines run on fairseq, for easy comparison

also see #3020

* Rename and improve example

* Add test

* slightly faster test

* style

* This breaks remy prolly

* shorter test string

* no slow

* newdir structure

* New tree

* Style

* shorter

* docs

* clean

* Attempt future import

* more import hax

* add first copy past test to tf 2 generate

* add tf top_k_top_p_filter fn

* add generate function for TF

* add generate function for TF

* implemented generate for all models expect transfoXL

* implemented generate for all models expect transfoXL

* implemented generate for all models expect transfoXL

* make style

* change permission of test file to correct ones

* delete ipdb

* delete ipdb

* fix bug and finish simple gpt2 integration test

* clean test file

* clean test file

* make style

* make style

* make style

* make style

* change import style

* change import style

* make style

* make style

* add decorators

* add decorators

* fix tf ctrl bug dim => axis in TF

* make style

* make style

* refactored test file

* refactored test file

* take out test_torch_tf_conversion if nothing is defined

* take out test_torch_tf_conversion if nothing is defined

* remove useless files

* remove useless files

* fix conflicts

* fix conflicts

* fix conflicts

* fix conflicts

* fix conflicts

* solve conflicts

* solve conflicts

* fix conflicts

* fix conflicts

* merge conflicts

* delete ipdb

* exposed top_k_top_p_filtering fns

* delete weirdly created w! file

* add comment to test tf common modeling

* fix conflicts

* fix conflicts

* make style

* merge conflicts

* make style

* change tf.tensor.shape to shape_list(tensor)

That's the same fix applied in https://github.com/huggingface/transformers/issues/2258 , but for the GLUE example

cc @sshleifer

* add models cards for camembert-base-fquad camembert-base-squad

* typo fix

* debug env

* Restrict TF GPU memory

* Fixup

* One more test

* rm debug logs

* Fixup

* Pipeline doc initial commit

* pipeline abstraction

* Remove modelcard argument from pipeline

* Task-specific pipelines can be instantiated with no model or tokenizer

* All pipelines doc

- Add example of usage
- Update metrics

cc @patrickvonplaten

* correct greedy generation when doing beam search

* improve comment

see https://www.tensorflow.org/guide/gpu#limiting_gpu_memory_growth

Co-Authored-By: Funtowicz Morgan <mfuntowicz@users.noreply.github.com>
Co-Authored-By: Lysandre Debut <lysandre.debut@reseau.eseo.fr>

* force pad_token_id to be set before padding

* fix tests and forbid padding without having a padding_token_id set

`generate` code that produces 99% identical summarizations to fairseq on CNN test data, with caching.

* fix n_gpu count when no_cuda flag is activated

* someone was left behind

* Create self-hosted.yml

* Update self-hosted.yml

* Update self-hosted.yml

* Update self-hosted.yml

* Update self-hosted.yml

* Update self-hosted.yml

* do not run slow tests, for now

* [ci] For comparison with circleci, let's also run CPU-tests

* [ci] reorganize

* clearer filenames

* [ci] Final tweaks before merging

* rm slow tests on circle ci

* Trigger CI

* On GPU this concurrency was way too high

* changes to allow for tpu training

* black

* tpu

* tpu

* * Added support for Albert when fine-tuning for NER

* Added support for Albert in NER pipeline

* Added command-line options to examples/ner/run_ner.py to better control tokenization

* Added class AlbertForTokenClassification

* Changed output for NerPipeline to use .convert_ids_to_tokens(...) instead of .decode(...) to better reflect tokens

* Added ,

* Now passes style guide enforcement

* Changes from reviews.

* Code now passes style enforcement

* Added test for AlbertForTokenClassification

* Added test for AlbertForTokenClassification