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:
- ab56b3edc79ad5b570854a806906d56be566426a1159b4273a7d71d3dd348112
- Size of remote file:
- 472 Bytes
- SHA256:
- 68a77b743ee02d373e0f0a152d5146ea1eb9860a9c81b1979576a99972a9dcc2
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