| 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/ | |