ragflow/python/llm/embedding_model.py
2023-12-25 10:17:13 +08:00

32 lines
928 B
Python

from abc import ABC
from FlagEmbedding import FlagModel
import torch
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.encode(texts[i:i+batch_size]))
return res