Instructions to use joaodaniel/RS-M-CLIP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use joaodaniel/RS-M-CLIP with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:joaodaniel/RS-M-CLIP') tokenizer = open_clip.get_tokenizer('hf-hub:joaodaniel/RS-M-CLIP') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0abd02c8ae3c446b4b196b4041ef6b8dc3dce7d172091fa5ca5ce17b4eb7d627
- Size of remote file:
- 17.1 MB
- SHA256:
- f59925fcb90c92b894cb93e51bb9b4a6105c5c249fe54ce1c704420ac39b81af
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