NielsRogge/Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
- Stars
- 12k
- Forks
- 1.7k
- Open issues
- 304
- Last push
- 1mo ago
About Transformers-Tutorials
Transformers-Tutorials is a free, open-source computer vision tool by NielsRogge, written mainly in Jupyter Notebook. This repository contains demos I made with the Transformers library by HuggingFace. It has 12k GitHub stars and 1.7k forks, and was last updated 1mo ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- Jupyter Notebook
- Stars
- 11,769
- Last update
- 1mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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Transformers-Tutorials FAQ
Is Transformers-Tutorials free?
Yes. Transformers-Tutorials is open source and free to use. It's released under the MIT license, a standard open-source license.
Does Transformers-Tutorials run on a Mac?
Its README doesn't say. Check the installation guide on GitHub before you start.
Does Transformers-Tutorials need a GPU?
Its README doesn't state hardware needs. AI models generally run much faster with a GPU.
Is Transformers-Tutorials still maintained?
It was last updated 1mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to Transformers-Tutorials?
Similar free, open-source tools include vit-pytorch, pytorch-grad-cam, uniface, vision.