Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
Explore and demonstrate various AI models using the Transformers library for tasks like text and audio processing.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeThis repository contains demos I made with the Transformers library by HuggingFace.
Transformers-Tutorials has 11.7k stars on GitHub. It has been forked 1.7k times. Transformers-Tutorials is written mainly in Jupyter Notebook. It has been in active development since 2020. Transformers-Tutorials is available under the MIT license. Its main topics are bert, gpt-2, layoutlm, pytorch.
What is Transformers-Tutorials?
This repository contains demos I made with the Transformers library by HuggingFace.
Is Transformers-Tutorials open source?
Transformers-Tutorials is an open-source project. It is released under the MIT license.
Is Transformers-Tutorials free?
Yes. Transformers-Tutorials is free and open source — you can use, modify and self-host it.
What license does Transformers-Tutorials use?
Transformers-Tutorials is available under the MIT license.
What language is Transformers-Tutorials written in?
Transformers-Tutorials is written mainly in Jupyter Notebook.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/nielsrogge-transformers-tutorials.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.