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:
- 9f041cdbff12e637b4c5beb4d4571459997d91ab282f92b3d733f54178c5b30d
- Size of remote file:
- 1.71 GB
- SHA256:
- 3c18cdfd295ecdcc65db1f53ec4ed08cdd17dc919b590895aa61180df7426707
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