Hugging Face Transformers

This project provides a collection of popular pre-trained models, with supporting infrastructure that works with multiple back-ends (PyTorch, TensorFlow, and JAX). Transformers started out with a focus on NLP, but has added other types of models, including computer vision and audio.

Logo

../_images/huggingface_transformers-small.png

Website

https://huggingface.co

Repository

https://github.com/huggingface/transformers

Byline

Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

License

Apache 2.0

Project age

4 years 1 months

Backers

Hugging Face (Creator and maintainer)

Lastest News (2021-06-25)

New course on using transformer models for NLP. more

Size score (1 to 10, higher is better)

8.25

Trend score (1 to 10, higher is better)

6.75

Education Resources

URL

Resource Type

Description

https://huggingface.co/transformers/

Documentation

Official project documentation.

https://huggingface.co/course/chapter1

Online Course

This course, from Hugging Face, will teach you about natural language processing (NLP) using libraries from the Hugging Face ecosystem: Transformers, Datasets, Tokenizers, and Accelerate.

Git Commit Statistics

Statistics computed using Git data through November 30, 2022.

Statistic

Lifetime

Last 12 Months

Commits

86,931

21,821

Lines committed

21,799,121

6,340,206

Unique committers

1,633

636

Core committers

17

18

../_images/huggingface_transformers-monthly-commits.png

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