| 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. |