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-75/trainer_state.json from brucoder/WINTER-FROST-3-try: direct link, hf CLI and curl.
- Browser
- Download file 3.55 kB
-
https://huggingface.co/brucoder/WINTER-FROST-3-try/resolve/main/checkpoint-75/trainer_state.json
- Command line
-
hf download hf://brucoder/WINTER-FROST-3-try/checkpoint-75/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/brucoder/WINTER-FROST-3-try/resolve/main/checkpoint-75/trainer_state.json
3.55 kB
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