Instructions to use UCSC-VLAA/ViT-L-14-CLIPS-Recap-DataComp-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use UCSC-VLAA/ViT-L-14-CLIPS-Recap-DataComp-1B with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:UCSC-VLAA/ViT-L-14-CLIPS-Recap-DataComp-1B') tokenizer = open_clip.get_tokenizer('hf-hub:UCSC-VLAA/ViT-L-14-CLIPS-Recap-DataComp-1B') - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from UCSC-VLAA/ViT-L-14-CLIPS-Recap-DataComp-1B: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/UCSC-VLAA/ViT-L-14-CLIPS-Recap-DataComp-1B/resolve/main/tokenizer.json
- Command line
-
hf download hf://UCSC-VLAA/ViT-L-14-CLIPS-Recap-DataComp-1B/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/UCSC-VLAA/ViT-L-14-CLIPS-Recap-DataComp-1B/resolve/main/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.