# Biomedical Text Embedding

A sentence transformer model trained on the PubMed dataset, supporting multiple embedding dimensions, suitable for biomedical text processing.

A sentence embedding model based on BioBERT, trained on multiple NLI datasets, suitable for sentence similarity calculation and semantic search tasks

Biomedical sentence embedding model based on BioLinkBERT, specifically designed for biomedical text similarity calculation

An improved model based on BioBERT, fine-tuned with SNLI and MultiNLI datasets for generating universal sentence embeddings

This is a sentence transformer model based on allenai/biomed_roberta_base, specifically fine-tuned for sentence similarity tasks, capable of mapping text to a 768-dimensional vector space.