sentence-transformers 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] 
