* remove references to old API in docstring - update data processors
* style
* fix tests - better type checking error messages
* better type checking
* include awesome fix by @LysandreJik for #5310
* updated doc and examples
* Added links to more community notebooks
Added links to 3 more community notebooks from the git repo: https://github.com/abhimishra91/transformers-tutorials
Different Transformers models are fine tuned on Dataset using PyTorch
* Update README.md
* Update README.md
* Update README.md
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Adding optimizations block from ONNXRuntime.
* Turn off external data format by default for PyTorch export.
* Correct the way use_external_format is passed through the cmdline args.
* Added generic ONNX conversion script for PyTorch model.
* WIP initial TF support.
* TensorFlow/Keras ONNX export working.
* Print framework version info
* Add possibility to check the model is correctly loading on ONNX runtime.
* Remove quantization option.
* Specify ONNX opset version when exporting.
* Formatting.
* Remove unused imports.
* Make functions more generally reusable from other part of the code.
* isort happy.
* flake happy
* Export only feature-extraction for now
* Correctly check inputs order / filter before export.
* Removed task variable
* Fix invalid args call in load_graph_from_args.
* Fix invalid args call in convert.
* Fix invalid args call in infer_shapes.
* Raise exception and catch in caller function instead of exit.
* Add 04-onnx-export.ipynb notebook
* More WIP on the notebook
* Remove unused imports
* Simplify & remove unused constants.
* Export with constant_folding in PyTorch
* Let's try to put function args in the right order this time ...
* Disable external_data_format temporary
* ONNX notebook draft ready.
* Updated notebooks charts + wording
* Correct error while exporting last chart in notebook.
* Adressing @LysandreJik comment.
* Set ONNX opset to 11 as default value.
* Set opset param mandatory
* Added ONNX export unittests
* Quality.
* flake8 happy
* Add keras2onnx dependency on extras["tf"]
* Pin keras2onnx on github master to v1.6.5
* Second attempt.
* Third attempt.
* Use the right repo URL this time ...
* Do the same for onnxconverter-common
* Added keras2onnx and onnxconveter-common to 1.7.0 to supports TF2.2
* Correct commit hash.
* Addressing PR review: Optimization are enabled by default.
* Addressing PR review: small changes in the notebook
* setup.py comment about keras2onnx versioning.
I found there are two grammar errors or typo issues in the explanation of the encoding properties.
The original sentences:
If your was made of multiple \"parts\" such as (question, context), then this would be a vector with for each token the segment it belongs to
If your has been truncated into multiple subparts because of a length limit (for BERT for example the sequence length is limited to 512), this will contain all the remaining overflowing parts.
I think "input" should be inserted after the phrase "If your".
For the tutorial of "How to generate text", the URL link was wrong (it was linked to the tutorial of "How to train a language model").
I fixed the URL.
* 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>
Patrick von Platen
Thomas Wolf
Sylvain Gugger
Michaël Benesty
Pri Oberoi
Abhishek Kumar Mishra
Lorenzo Ampil
Iz Beltagy
Suraj Patil
Lavanya Shukla
ohmeow
Nathan Cooper
Funtowicz Morgan
Nikita
Morgan Funtowicz
Stefan Schweter
Jonathan Sum
Anthony MOI
Lysandre Debut
Kyeongpil Kang
Param bhavsar
Morgan Funtowicz
Julien Chaumond
alberduris
thomwolf
chrislarson1