Instructions to use gargo/NOS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gargo/NOS with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gargo/NOS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download NOS.pth from gargo/NOS: direct link, hf CLI and curl.
- Browser
- Download file 209 MB
-
https://huggingface.co/gargo/NOS/resolve/main/NOS.pth
- Command line
-
hf download hf://gargo/NOS/NOS.pth
-
curl -L -o NOS.pth https://huggingface.co/gargo/NOS/resolve/main/NOS.pth
209 MB
- Xet hash:
- 13d0bb563c276ef3c8d664b3e550e46cf842aebb7451e9f332db9a5bf17d4e4d
- Size of remote file:
- 209 MB
- SHA256:
- da86273856084312fcae6c6adc50f7149baab67693ea9f896117ad20c076dd2e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.