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