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
Add trained weights
Browse files- clipL_metaclip_ep4.pt +3 -0
- clipL_metaclip_run2_ep6.pt +3 -0
- clipL_openai_ep4.pt +3 -0
- eva02L_lpft_ep6.pt +3 -0
clipL_metaclip_ep4.pt
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clipL_metaclip_run2_ep6.pt
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clipL_openai_ep4.pt
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eva02L_lpft_ep6.pt
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oid sha256:5a97c35b4c89abe678576e1b58251b6325cf728d4428987ba5422ea90a8c3ef3
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size 606543345
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