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33 lines
972 B
Python
33 lines
972 B
Python
from abc import ABC
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from FlagEmbedding import FlagModel
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import torch
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import numpy as np
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class Base(ABC):
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def encode(self, texts: list, batch_size=32):
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raise NotImplementedError("Please implement encode method!")
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class HuEmbedding(Base):
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def __init__(self):
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"""
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If you have trouble downloading HuggingFace models, -_^ this might help!!
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For Linux:
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export HF_ENDPOINT=https://hf-mirror.com
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For Windows:
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Good luck
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^_-
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"""
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self.model = FlagModel("BAAI/bge-large-zh-v1.5",
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query_instruction_for_retrieval="为这个句子生成表示以用于检索相关文章：",
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use_fp16=torch.cuda.is_available())
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def encode(self, texts: list, batch_size=32):
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res = []
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for i in range(0, len(texts), batch_size):
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res.extend(self.model.encode(texts[i:i+batch_size]).tolist())
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return np.array(res)
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