Feature Extraction
OpenCLIP
English
clip
open-clip
vision-language
image-text-retrieval
cross-modal-retrieval
long-context
hyperbolic-learning
hyperbolic-geometry
lorentz-model
eccv-2026
Instructions to use jeeit17/HyFL-CLIP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use jeeit17/HyFL-CLIP with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:jeeit17/HyFL-CLIP') tokenizer = open_clip.get_tokenizer('hf-hub:jeeit17/HyFL-CLIP') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fddef810f4e1465624edf4c0b90fe0e9aae6babbe807014d59522ae08cf8a56e
- Size of remote file:
- 1.71 GB
- SHA256:
- d6eb5fa128810e31167bdcecbbade75db130c00ecdc126b1f20b37404e90901c
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