Fill-Mask
Transformers
PyTorch
Chinese
bert
chinese
classical chinese
literary chinese
ancient chinese
roberta
Instructions to use SIKU-BERT/sikubert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SIKU-BERT/sikubert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="SIKU-BERT/sikubert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("SIKU-BERT/sikubert") model = AutoModelForMaskedLM.from_pretrained("SIKU-BERT/sikubert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f1d2ba8350b6c85e80cd3521741aff1e23fe80cd91ec382e6dc5bf8e4f320f3f
- Size of remote file:
- 438 MB
- SHA256:
- f60aae44c3c07748e671da0c9da5f15cb267169a8342bfe7f126524c3b289ff3
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