transformers 4.39.3

State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow

The huggingface/transformers repo was created 5 years ago and the last code push was 11 minutes ago.
The project is extremely popular with a mindblowing 123988 github stars!

How to Install transformers

You can install transformers using pip

pip install transformers

or add it to a project with poetry

poetry add transformers

Package Details

Author

The Hugging Face team (past and future) with the help of all our contributors (https://github.com/huggingface/transformers/graphs/contributors)

License

Apache 2.0 License

Homepage

https://github.com/huggingface/transformers

PyPi:

https://pypi.org/project/transformers/

GitHub Repo:

https://github.com/huggingface/transformers

Classifiers

• Scientific/Engineering/Artificial Intelligence

Related Packages

Errors

A list of common transformers errors.

Code Examples

Here are some transformers code examples and snippets.

GitHub Issues

The transformers package has 1056 open issues on GitHub

• Error when running the T5 pre-training script
• Ignored unknown kwarg option direction, while running run_mlm.py (pytorch)
• WIP Create test_speech_recognition_deepspeed.py
• Fix TFLEDModel
• GeneratorExp aren't supported by torch.jit.script when I try to export a previously trained model 'google/vit-base-patch16-224-in21k'.
• Allow relative imports in dynamic code
• Fix KerasMetricCallback prediction with generate() and inference of column names
• A few minor questions regarding run_summarization.py in examples
• DebertaV2 For run_qa.py
• wav2vec with LM leads to CPU OOM
• Fix bad_word_ids not working with sentencepiece-based tokenizers
• random word masking index shouble be great than 0
• ValueError: No valid checkpoint found in output directory
• CPU OOM when using IterableDataset with dataloader_num_workers > 0
• how can i write tensorboard when i train model with the script "run_speech_recognition_ctc.py"

See more issues on GitHub