Instructions to use Angad23/upar2027 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use Angad23/upar2027 with timm:
import timm model = timm.create_model("hf-hub:Angad23/upar2027", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download weights.sha256 from Angad23/upar2027: direct link, hf CLI and curl.
- Browser
- Download file 259 Bytes
-
https://huggingface.co/Angad23/upar2027/resolve/main/weights.sha256
- Command line
-
hf download hf://Angad23/upar2027/weights.sha256
-
curl -L -o weights.sha256 https://huggingface.co/Angad23/upar2027/resolve/main/weights.sha256
259 Bytes
| 0537500dbde073e4030b566a8537ec038bc124b70c341224c47068fcb8de3fc2 clipL_metaclip_ep4.pt | |
| 67f44b845e759050de6754ed8c2da54d3f2e7cc8cb21b189d66462e16d8134d4 clipL_openai_ep4.pt | |
| 5a97c35b4c89abe678576e1b58251b6325cf728d4428987ba5422ea90a8c3ef3 eva02L_lpft_ep6.pt | |