Instructions to use flavour/CLIP-ViT-B-16-DataComp.XL-s13B-b90K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use flavour/CLIP-ViT-B-16-DataComp.XL-s13B-b90K with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:flavour/CLIP-ViT-B-16-DataComp.XL-s13B-b90K') tokenizer = open_clip.get_tokenizer('hf-hub:flavour/CLIP-ViT-B-16-DataComp.XL-s13B-b90K') - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
290bfbe | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:8e3e22b0bf1cf0a31df3159c7e79bba4c57f5694c45ec02d1a985458402280ca
size 598602957
|