| language: zh | |
| ## roberta_chinese_large | |
| ### Overview | |
| **Language model:** roberta-large | |
| **Model size:** 1.2G | |
| **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 | |
| **NOTE:** You have to call **BertTokenizer** instead of RobertaTokenizer !!! | |
| ``` | |
| import torch | |
| from transformers import BertTokenizer, BertModel | |
| tokenizer = BertTokenizer.from_pretrained("clue/roberta_chinese_large") | |
| roberta = BertModel.from_pretrained("clue/roberta_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/ | |