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sheet_rag_chatbot / src /services /sentence-embedding.py

deploy to hunger face

205b451 3 months ago

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	from langchain_community.embeddings.sentence_transformer import (
	SentenceTransformerEmbeddings
	)

	model = SentenceTransformerEmbeddings(model_name="vinai/phobert-base-v2")

	query = 'This framework generates embeddings for each input sentence'
	sentence_embeddings = model.embed_query(query)
	print(len(sentence_embeddings))