readme: ---
  language: zh
  widget:
  - text: "天下熙熙，"
  - text: "清华大学是"
  ---
  
  <h1 align="center">
  CPM-Generate-distill
  </h1>
  
  CPM(Chinese Pre-Trained Language Models), which has 2.6B parameters, made by the research team of Beijing Zhiyuan Institute of artificial intelligence and Tsinghua University @TsinghuaAI.
  
  [repo: CPM-Generate](https://github.com/TsinghuaAI/CPM-Generate)
  The One Thing You Need to Know is this model is not uploaded by official, the conver script is [here](https://github.com/mymusise/CPM-TF2Transformer/blob/main/transfor_CMP.ipynb)
  
  And the `CPM-Generate-distill` is the distill model of `CPM`.
  
  
  # How to use
  
  How to use this model directly from the 🤗/transformers library:
  
  ```python
  from transformers import TextGenerationPipeline, AutoTokenizer, AutoModelWithLMHead
  
  tokenizer = AutoTokenizer.from_pretrained("mymusise/CPM-Generate-distill")
  model = AutoModelWithLMHead.from_pretrained("mymusise/CPM-Generate-distill")
  
  text_generater = TextGenerationPipeline(model, tokenizer)
  
  print(text_generator('清华大学是', max_length=50, do_sample=True, top_p=0.9))
  ```
  
  
  ![avatar](https://github.com/mymusise/CPM-TF2Transformer/raw/main/example-cpm-distill.jpeg)
  