Instructions to use jzhoubu/vdr-msmarco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jzhoubu/vdr-msmarco with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jzhoubu/vdr-msmarco", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b0c0d02f01f8e24728045a0936471604cc3eb233c6f7855a1a4219af6c8a20d8
- Size of remote file:
- 871 MB
- SHA256:
- 64a44747b25c4050257d6008eaf1bd9ec0572f5afda592f62a94c299fb55f082
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