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")
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