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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FireInside/OF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download hf.ckpt from FireInside/OF: direct link, hf CLI and curl.
- Browser
- Download file 4.1 GB
-
https://huggingface.co/FireInside/OF/resolve/refs%2Fpr%2F2/hf.ckpt
- Command line
-
hf download hf://FireInside/OF@refs/pr/2/hf.ckpt
-
curl -L -o hf.ckpt https://huggingface.co/FireInside/OF/resolve/refs%2Fpr%2F2/hf.ckpt
4.1 GB
- Xet hash:
- 312c00dec007e9eb72ec8de3882b00d0fd5441f4cab3f3530631a0525f4fbe26
- Size of remote file:
- 4.1 GB
- SHA256:
- 963101622f70306fb0f143993ecae36a78fa274d89d2a2f8be267377d77a895d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.