Transformers

Transformers#

https://camo.githubusercontent.com/09dca365b0cf6626b815e7eb4dc08ef071abbd1f60f98aea948c7d203cdbcc76/68747470733a2f2f68756767696e67666163652e636f2f64617461736574732f68756767696e67666163652f646f63756d656e746174696f6e2d696d616765732f7261772f6d61696e2f7472616e73666f726d6572732d6c6f676f2d6c696768742e737667

Description#

Transformers is a library of pretrained text, computer vision, audio, video, and multimodal models for inference and training. Use Transformers to fine-tune models on your data, build inference applications, and for generative AI use cases across multiple modalities. There are over 500K+ Transformers model checkpoints on the Hugging Face Hub you can use.

Home page for this solution: https://huggingface.co/docs/transformers/index

Overview#

Key

Value

Name

transformers

Description

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

License

Apache License 2.0

Programming Language

Python

Created

2018-10-29

Last update

2025-04-07

Github Stars

142546

Project Home Page

https://huggingface.co/transformers

Code Repository

huggingface/transformers

OpenSSF Scorecard

Report

Note:

  • Created date is date that repro is created on Github.com.

  • Last update: Last update of repository on Github found on Apr 07, 2025.

  • Do not attach a wrong value to github stars. Its a vanity metric! Stars count are misleading and don’t indicate if the SBB is high-quality or very popular.