Instructions to use pertschuk/bert-large-uncased-msmarco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pertschuk/bert-large-uncased-msmarco with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("pertschuk/bert-large-uncased-msmarco", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e9be5268e72184869e3bc97b80879751a1251a3e6cd5ac931e30b20b172c51aa
- Size of remote file:
- 1.34 GB
- SHA256:
- 7680e680175c242401274200295996cc9c6cefbf10a3d79e2b3ee0362290f9aa
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