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# 使用这个类需要先安装库：
from langchain_huggingface import HuggingFaceEmbeddings
# 指定模型名，如果你本地没有这个模型，第一次执行后它会先下载
model_name = " BAAI/bge-small-zh-v1.5 " # 模型名
model_kwargs = { ' device ' : ' cpu ' } # 没有显卡就用cpu，
encode_kwargs = { ' normalize_embeddings ' : True } # set True to compute cosine similarity
# 第一次运行， （ ） ，
hf_embedding = HuggingFaceEmbeddings (
model_name = model_name ,
model_kwargs = model_kwargs ,
encode_kwargs = encode_kwargs
)
resp = hf_embedding . embed_documents (
[ ' I like large language models. ' ,
' 今天的天气非常不错！ '
]
)
print ( resp [ 0 ] )
print ( len ( resp [ 0 ] ) )
