readme: ---
  language: zh
  ---
  
  ## xlnet_chinese_large
  
  ### Overview
  
  **Language model:** xlnet-large
  **Model size:** 1.3G
  **Language:** Chinese
  **Training data:** [CLUECorpusSmall](https://github.com/CLUEbenchmark/CLUECorpus2020)
  **Eval data:** [CLUE dataset](https://github.com/CLUEbenchmark/CLUE)
  
  ### Results
  
  For results on downstream tasks like text classification, please refer to [this repository](https://github.com/CLUEbenchmark/CLUE).
  
  ### Usage
  
  ```
  import torch
  from transformers import XLNetTokenizer,XLNetModel
  tokenizer = XLNetTokenizer.from_pretrained("clue/xlnet_chinese_large")
  xlnet = XLNetModel.from_pretrained("clue/xlnet_chinese_large")
  ```
  
  ### About CLUE benchmark
  
  Organization of Language Understanding Evaluation benchmark for Chinese: tasks & datasets, baselines, pre-trained Chinese models, corpus and leaderboard.
  
  Github: https://github.com/CLUEbenchmark
  Website: https://www.cluebenchmarks.com/
  