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:
- 836cb35a8d0d2f4d0e7c1f59f28421c8dc30db8818770669e89f550105cd95d8
- Size of remote file:
- 243 Bytes
- SHA256:
- c1c58c2cf62ade0826a10b4441c8bb7e4fcd64a0fe5db2ed2d0a77cb8c6bbc0c
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