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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("huggingnft/frames", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.pt from huggingnft/frames: direct link, hf CLI and curl.
- Browser
- Download file 151 MB
-
https://huggingface.co/huggingnft/frames/resolve/main/model.pt
- Command line
-
hf download hf://huggingnft/frames/model.pt
-
curl -L -o model.pt https://huggingface.co/huggingnft/frames/resolve/main/model.pt
151 MB
- Xet hash:
- eee640940cfb1e474556935f190e9f7bf4b17facae41d0209460bc1368e626f0
- Size of remote file:
- 151 MB
- SHA256:
- 2f7c37169f4a3407f2eb2625cf7a307cf6c6356f5b78a3f6a970911515ecf3bc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.