| language: | |
| - "zh" | |
| tags: | |
| - "chinese" | |
| - "masked-lm" | |
| - "wikipedia" | |
| license: "cc-by-sa-4.0" | |
| pipeline_tag: "fill-mask" | |
| mask_token: "[MASK]" | |
| # roberta-base-chinese | |
| ## Model Description | |
| This is a RoBERTa model pre-trained on Chinese Wikipedia texts (both simplified and traditional). NVIDIA A100-SXM4-40GB took 48 hours 56 minutes for training. You can fine-tune `roberta-base-chinese` for downstream tasks, such as [POS-tagging](https://huggingface.co/KoichiYasuoka/roberta-base-chinese-upos), [dependency-parsing](https://huggingface.co/KoichiYasuoka/roberta-base-chinese-ud-goeswith), and so on. | |
| ## How to Use | |
| ```py | |
| from transformers import AutoTokenizer,AutoModelForMaskedLM | |
| tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/roberta-base-chinese") | |
| model=AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/roberta-base-chinese") | |
| ``` | |