Instructions to use apple/DFN2B-CLIP-ViT-L-14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use apple/DFN2B-CLIP-ViT-L-14 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:apple/DFN2B-CLIP-ViT-L-14') tokenizer = open_clip.get_tokenizer('hf-hub:apple/DFN2B-CLIP-ViT-L-14') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b78529e1304b31a6c0cf3a72440aa6685c9d9e0d01cfe8ca4b44b90ca6a57e1
- Size of remote file:
- 1.71 GB
- SHA256:
- c02c84198ede77ad80df0803224022f1e9e95ce42551baa91a1b5d87e229e2bb
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