15 lines
507 B
Python
15 lines
507 B
Python
from functools import lru_cache
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from langchain.embeddings.huggingface import HuggingFaceEmbeddings
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from configs.model_config import embedding_model_dict
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from loguru import logger
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@lru_cache(1)
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def load_embeddings(model: str, device: str):
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logger.info("load embedding model: {}, {}".format(model, embedding_model_dict[model]))
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embeddings = HuggingFaceEmbeddings(model_name=embedding_model_dict[model],
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model_kwargs={'device': device})
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return embeddings
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