Instructions to use UCSC-VLAA/ViT-bigG-14-CLIPA-datacomp1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use UCSC-VLAA/ViT-bigG-14-CLIPA-datacomp1B with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:UCSC-VLAA/ViT-bigG-14-CLIPA-datacomp1B') tokenizer = open_clip.get_tokenizer('hf-hub:UCSC-VLAA/ViT-bigG-14-CLIPA-datacomp1B') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 60ae605ad2d41d74eb061eea380350b8b69027ca6f50fb511556c23e5a219cb4
- Size of remote file:
- 10.1 GB
- SHA256:
- 348e99ba40bffa025947f1c47b9a6f2103d655c995125c43d40d49308459423b
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