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:
# 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 training_args.bin from brucoder/WINTER-FROST-3-try: direct link, hf CLI and curl.
- Browser
- Download file 5.71 kB
-
https://huggingface.co/brucoder/WINTER-FROST-3-try/resolve/main/training_args.bin
- Command line
-
hf download hf://brucoder/WINTER-FROST-3-try/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/brucoder/WINTER-FROST-3-try/resolve/main/training_args.bin
5.71 kB
- Xet hash:
- d8371e845ad8e0817855112e4bf8bbff04c52051a45dde12634cce60d6c906ff
- Size of remote file:
- 5.71 kB
- SHA256:
- da60b1418d13055c56db5bfe8c8fff724f2f0a9917cc73616cfa1049eecc193d
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