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:
- 03c506940490a6b56c51e637c7572ad41aea0a6c4fb3fe5ff0090e75389578aa
- Size of remote file:
- 243 Bytes
- SHA256:
- 9d4292a5186e1d7b5fee66d202e904b13f8036e3a19fb7b91444478b0bf997ea
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