metadata

language:
  - zh
tags:
  - chinese
  - masked-lm
  - wikipedia
license: cc-by-sa-4.0
pipeline_tag: fill-mask
mask_token: '[MASK]'

deberta-base-chinese

Model Description

This is a DeBERTa(V2) model pre-trained on Chinese Wikipedia texts (both simplified and traditional). NVIDIA A100-SXM4-40GB took 102 hours 34 minutes for training. You can fine-tune deberta-base-chinese for downstream tasks, such as POS-tagging, dependency-parsing, and so on.

How to Use

from transformers import AutoTokenizer,AutoModelForMaskedLM
tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/deberta-base-chinese")
model=AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/deberta-base-chinese")