# High-precision Scoring

A cross-encoder model trained on the msmarco dataset using the sentence-transformers library, designed for text re-ranking and semantic search

This is a cross-encoder model fine-tuned from cross-encoder/ms-marco-MiniLM-L6-v2, developed using the sentence-transformers library. It can compute scores for text pairs and is suitable for text re-ranking and semantic search.

This is a cross-encoder model fine-tuned from ModernBERT-base, designed for calculating scores of text pairs, suitable for text re-ranking and semantic search tasks.

This is a cross-encoder model fine-tuned on MiniLM-L12-H384-uncased for text re-ranking and semantic search tasks.