File size: 436 Bytes
51848a7 90f2d4e d3eef20 8d848a4 |
1 2 3 4 5 6 7 8 9 10 11 12 13 |
---
datasets:
- BeIR/msmarco
language:
- en
---
This model uses two BERT models fine-tuned on a contrastive learning objective.
One is responsable for short queries, and the other for longer documents that contain the answer to the query.
After encoding many documents, one may perform a nearest neighbor search with the query encoding, to fetch
the most relevant document.
Take a look at inference.py to see how to perform inference. |