How to use EvgenyBondarenko/BIEncoderRanker with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("EvgenyBondarenko/BIEncoderRanker") sentences = [ "Исследование антигена хеликобактера (Helicobacter pylori)", "Токсоплазма (Toxoplasma gondii): Антитела: IgG, (количественно). Метод: ИФА", "Хеликобактер пилори (Helicobacter pylori): Антитела: IgG, (количественно). Метод: ИФА", "УЗИ молочных желез с эластографией" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
https://huggingface.co/EvgenyBondarenko/BIEncoderRanker/resolve/main/tokenizer.json
hf download hf://EvgenyBondarenko/BIEncoderRanker/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/EvgenyBondarenko/BIEncoderRanker/resolve/main/tokenizer.json
