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 |
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|---|---|
Website |
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Repository |
|
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 |
|---|---|---|
Documentation |
Official project documentation. |
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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 |
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