15 lines
526 B
Python
15 lines
526 B
Python
from sentence_transformers import SentenceTransformer
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class model():
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def __init__(self):
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from sentence_transformers import SentenceTransformer
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self.model = SentenceTransformer("google/embeddinggemma-300m")
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def run(self, question:str, chunk:str)->int:
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query_embeddings = self.model.encode_query(question)
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document_embeddings = self.model.encode_document(chunk)
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similarities = self.model.similarity(query_embeddings, document_embeddings)
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return similarities
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