Instructions to use jzhoubu/vdr-hlp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jzhoubu/vdr-hlp with Transformers:
# Load model directly from transformers import BiEncoder model = BiEncoder.from_pretrained("jzhoubu/vdr-hlp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 730d435785561f0bd9a11cea5d5bf33786f5c2559fcc6c95f85d757bca64fdc3
- Size of remote file:
- 871 MB
- SHA256:
- ad7891a29edd3b4a14d0dfbe9db0762fa2e6439023c10bc8633f1ec8e131f681
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