Instructions to use brucoder/WINTER-FROST-3-try with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use brucoder/WINTER-FROST-3-try with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("brucoder/WINTER-FROST-3-try", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download checkpoint-100/optimizer.pt from brucoder/WINTER-FROST-3-try: direct link, hf CLI and curl.
- Browser
- Download file 82.5 MB
-
https://huggingface.co/brucoder/WINTER-FROST-3-try/resolve/main/checkpoint-100/optimizer.pt
- Command line
-
hf download hf://brucoder/WINTER-FROST-3-try/checkpoint-100/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/brucoder/WINTER-FROST-3-try/resolve/main/checkpoint-100/optimizer.pt
82.5 MB
- Xet hash:
- e6e1504f2daef2c31969669a0623098a22b2a6935405cf23ca595259e6f1ddf5
- Size of remote file:
- 82.5 MB
- SHA256:
- 31320d29951e181fc1022874a1d2b96fe6cfc7a0f8dcf75f5da173e9054f2d84
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