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KoichiYasuoka/deberta-base-chinese
deberta-base-chinese is a fill-mask model from KoichiYasuoka. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as cc-by-sa-4.0.
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…
Downloads · 30 days
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4% of all-time downloads
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From the Hugging Face model README
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.
from transformers import AutoTokenizer,AutoModelForMaskedLM
tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/deberta-base-chinese")
model=AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/deberta-base-chinese")