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tomasonjo/embeddings.py

Created December 27, 2022 21:17
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embeddings.py
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("sentence-transformers/all-MiniLM-L6-v2")
def generate_embeddings(text):
embeddings = model.encode(text)
return [float(x) for x in embeddings.tolist()]
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