How to use SIRIS-Lab/affilgood-dense-retriever with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("SIRIS-Lab/affilgood-dense-retriever") sentences = [ "[MENTION] Gustavus And Louise Pfeiffer Research Foundation [CITY] Bangor [COUNTRY] United States", "[MENTION] Gustavus And Louise Pfeiffer Research Foundation [CITY] Bangor [COUNTRY] United States", "[MENTION] Fifth Tianjin Central Hospital [CITY] Tianjin [COUNTRY] China", "[MENTION] Purdue Research Foundation [ACRONYM] PRF [CITY] West Lafayette [COUNTRY] United States" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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