Instructions to use UCSC-VLAA/openvision-vit-tiny-patch8-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use UCSC-VLAA/openvision-vit-tiny-patch8-224 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:UCSC-VLAA/openvision-vit-tiny-patch8-224') tokenizer = open_clip.get_tokenizer('hf-hub:UCSC-VLAA/openvision-vit-tiny-patch8-224') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd8dde02e9e499adf5e9e99cf8e3bb360a4da110d0ae36fb062bb45024141d89
- Size of remote file:
- 68.5 MB
- SHA256:
- 96ddc70bf53cece1fac63b18dd0723a67f24226785bf5e705d35ba0d5bc0bf3f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.