Instructions to use Aixile/CLIP-ViT-L-14-DataComp.XL-s13B-b90K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use Aixile/CLIP-ViT-L-14-DataComp.XL-s13B-b90K with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:Aixile/CLIP-ViT-L-14-DataComp.XL-s13B-b90K') tokenizer = open_clip.get_tokenizer('hf-hub:Aixile/CLIP-ViT-L-14-DataComp.XL-s13B-b90K') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd86edefe03785ed30d14075b875f8b8f0b172a4bd12e07e6d99c6efff7ca67d
- Size of remote file:
- 1.71 GB
- SHA256:
- ff37869878b61d3a1f2a82dbbd093927ea658f7477e1a347c0ba384591238904
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