Instructions to use UCSC-VLAA/openvision3-vit-base-patch2-28 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use UCSC-VLAA/openvision3-vit-base-patch2-28 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:UCSC-VLAA/openvision3-vit-base-patch2-28') tokenizer = open_clip.get_tokenizer('hf-hub:UCSC-VLAA/openvision3-vit-base-patch2-28') - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
bdb0446 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:37d649a86f69478e0c58fc78d777be062a520391d50116e0987484bcb04faa99
size 343438291
|