EricFillion/happy-transformer
Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.
- Stars
- 545
- Forks
- 68
- Open issues
- 22
- Last push
- 9mo ago
About happy-transformer
happy-transformer is a free, open-source machine learning tool by EricFillion, written mainly in Python. Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models. It has 545 GitHub stars and 68 forks, and was last updated 9mo ago. It's released under the Apache-2.0 license, a standard open-source license.
- License
- Apache-2.0
- Language
- Python
- Stars
- 545
- Last update
- 9mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Yes
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happy-transformer FAQ
Is happy-transformer free?
Yes. happy-transformer is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does happy-transformer run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does happy-transformer need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is happy-transformer still maintained?
It was last updated 9mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to happy-transformer?
Similar free, open-source tools include ludwig, pytorch-image-models, argilla, imbalanced-learn.