# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("bozhou/DeBERTa-base", trust_remote_code=True)
model = AutoModel.from_pretrained("bozhou/DeBERTa-base", trust_remote_code=True)Quick Links
This model is trained according to DeBERTa-V2(https://huggingface.co/microsoft/deberta-base) for classical Chinese.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="bozhou/DeBERTa-base", trust_remote_code=True)