transformers 4.45.2
0
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Contents
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Stars: 133276, Watchers: 133276, Forks: 26617, Open Issues: 1415The huggingface/transformers
repo was created 5 years ago and the last code push was 4 hours ago.
The project is extremely popular with a mindblowing 133276 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 1415 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"