Instructions to use justram/CLIP-ViT-B-32-laion2B-e16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use justram/CLIP-ViT-B-32-laion2B-e16 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:justram/CLIP-ViT-B-32-laion2B-e16') tokenizer = open_clip.get_tokenizer('hf-hub:justram/CLIP-ViT-B-32-laion2B-e16') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ec87eae615eb67bb4c92b8afcdf035d8e59a5bf1bdbea76cf6a44b95498d004
- Size of remote file:
- 605 MB
- SHA256:
- c5d327dd98734e96774e08983ad5a7da10d88ae220dcf928368a8aa4c215daf0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.