Instructions to use timm/MobileCLIP2-L-14-OpenCLIP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use timm/MobileCLIP2-L-14-OpenCLIP with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:timm/MobileCLIP2-L-14-OpenCLIP') tokenizer = open_clip.get_tokenizer('hf-hub:timm/MobileCLIP2-L-14-OpenCLIP') - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
f73885f | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:5e7b2c1cffd515ff99a5811ec18f0f21359e67342bf6a7728e47a7eaad38a77a
size 1710654545
|