20 lines
535 B
Python
20 lines
535 B
Python
from mem0.embeddings.base import EmbeddingBase
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from sentence_transformers import SentenceTransformer
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class HuggingFaceEmbedding(EmbeddingBase):
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def __init__(self, model_name="multi-qa-MiniLM-L6-cos-v1"):
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self.model = SentenceTransformer(model_name)
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def embed(self, text):
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"""
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Get the embedding for the given text using Hugging Face.
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Args:
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text (str): The text to embed.
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Returns:
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list: The embedding vector.
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"""
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return self.model.encode(text)
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