cpm-ant-10b:用户可借助该项目实现中文文本生成，通过 transformers 库加载模型和分词器，输入文本即可生成续写内容，核心功能为因果语言模型的文本续写，亮点在于便捷的安装与调用流程。【此简介由AI生成】

使用方法

pip install transformers

from transformers import CpmAntTokenizer, CpmAntForCausalLM

texts = "今天天气不错，"
model = CpmAntForCausalLM.from_pretrained("openbmb/cpm-ant-10b")
tokenizer = CpmAntTokenizer.from_pretrained("openbmb/cpm-ant-10b")
input_ids = tokenizer(texts, return_tensors="pt")
outputs = model.generate(**input_ids)
output_texts = tokenizer.batch_decode(outputs)

print(output_texts)