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:
- 77f47423fe8ee22ed9615cf122e3ca65ae89ad96aaed01b99d5f8b0c4d09dd20
- Size of remote file:
- 1.71 GB
- SHA256:
- 6509f07e6fc0da68f8e1ee881bf90803f0b053d2f7ed2013cc7c3a49ac4dd3db
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