Instructions to use hooman650/ct2fast-bge-reranker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hooman650/ct2fast-bge-reranker with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hooman650/ct2fast-bge-reranker", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd19c45aa04fbebee19de0ec288fc910f056c06cadc0a6bd9c3dd6eb522ccb12
- Size of remote file:
- 563 MB
- SHA256:
- 7117bbbf09c38881ef9e23db848844b6dea51749d3feb80b3439a65de6ff468d
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