Instructions to use InspiratioNULL/CLIP-VIT-B-32-DataComp.XL-CoreML with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use InspiratioNULL/CLIP-VIT-B-32-DataComp.XL-CoreML with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:InspiratioNULL/CLIP-VIT-B-32-DataComp.XL-CoreML') tokenizer = open_clip.get_tokenizer('hf-hub:InspiratioNULL/CLIP-VIT-B-32-DataComp.XL-CoreML') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f68070a9ee1e4ed914cbe63abbe5428e92902823b9c9ffced950d3313030a3ac
- Size of remote file:
- 478 Bytes
- SHA256:
- 1ea6f6dfb60c6f0f8d80c2e06500b1bf6a835a114aad66094dc4bf097f238935
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