Instructions to use huggingnft/frames with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huggingnft/frames with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("huggingnft/frames", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eee640940cfb1e474556935f190e9f7bf4b17facae41d0209460bc1368e626f0
- Size of remote file:
- 151 MB
- SHA256:
- 2f7c37169f4a3407f2eb2625cf7a307cf6c6356f5b78a3f6a970911515ecf3bc
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