Instructions to use kkmkorea/4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kkmkorea/4 with Transformers:
# Load model directly from transformers import HybridCLIP model = HybridCLIP.from_pretrained("kkmkorea/4", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 823746c371fd052021364f301b12c8ce90e72d0ff061a3f565a1627318d0ebf2
- Size of remote file:
- 852 MB
- SHA256:
- f6b605c33dfd820af975d6e96e527afa4fa512d8c480360c3b161466d4fe962a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.