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:
- fe425b30352a190712d6fa481fe51e5e140b11bb183500de9c5a98ebec234a40
- Size of remote file:
- 1.46 GB
- SHA256:
- 40223a0370555c41da823cf5bfc41803c5f208b3fd9083fea8a711375564248c
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