shibing624

/

text2vec-base-chinese

like 586

# 先将该模型保存在了本地
tokenizer = BertTokenizer.from_pretrained(model_name)
model = BertModel.from_pretrained(model_name)

tokenizer.save_pretrained(save_directory=model_path)
model.save_pretrained(save_directory=model_path)

# 然后使用HuggingFaceEmbedings构建一个对象，这个时候会报警告：No sentence-transformers model found with name xxxxx
embeddings = HuggingFaceEmbeddings(
    model_name=local_embeding_model_path,
)