# Medical text analysis

GLiNER-Biomedical Edition is a specialized biomedical named entity recognition model developed based on the GLiNER framework, capable of identifying multiple biomedical entity types.

GLiNER-Biomedical Edition is an efficient open NER model suite based on the GLiNER framework, specifically designed for the biomedical field, capable of identifying various entities in biomedical texts.

A Hungarian sentence embedding model fine-tuned based on ModernBERT, used for semantic similarity calculation and text feature extraction

A sentence-transformers model fine-tuned on the MS-MARCO Russian passage ranking dataset, based on the DeepPavlov/rubert-base-cased pre-trained model, designed for asymmetric semantic search in Russian.