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:
- 87592275616aa8d61f53b8cbf39e3e619a514b1ac08def726fcdd7ef53eb8c63
- Size of remote file:
- 127 MB
- SHA256:
- 3fa0dfd9975b5e10a37e3cd8cc4a563d28be2eeb7fc84e575ba74c0136176a01
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