Instructions to use FireInside/OF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FireInside/OF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FireInside/OF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download runpodCSR1.zip from FireInside/OF: direct link, hf CLI and curl.
- Browser
- Download file 4.27 GB
-
https://huggingface.co/FireInside/OF/resolve/main/runpodCSR1.zip
- Command line
-
hf download hf://FireInside/OF/runpodCSR1.zip
-
curl -L -o runpodCSR1.zip https://huggingface.co/FireInside/OF/resolve/main/runpodCSR1.zip
4.27 GB
- Xet hash:
- 51b33558c917e466007f6f26d122f4c9b57ed1007d036719cf98c2d0a28c48b1
- Size of remote file:
- 4.27 GB
- SHA256:
- 7f84c59d938a9adfbe547abbc3247b2cd938db93760e3730daf8b77c82a4d65e
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