Transformers
PyTorch
Chinese
bert
next-sentence-prediction
SequenceClassification
MetaDis
古文
文言文
ancient
classical
Biography
古代人物传记
Instructions to use cbdb/MetaDis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cbdb/MetaDis with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForNextSentencePrediction tokenizer = AutoTokenizer.from_pretrained("cbdb/MetaDis") model = AutoModelForNextSentencePrediction.from_pretrained("cbdb/MetaDis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Correct spelling in title
Browse files
README.md
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license: cc-by-nc-sa-4.0
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# <font color="IndianRed"> MetaDis (Classical Chinese Biographical
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[](https://colab.research.google.com/drive/1UcyhdfX5_NuZ87XR1fUmMACJ7qY-nn-P#scrollTo=cd-iH6OLpIeV)
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license: cc-by-nc-sa-4.0
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# <font color="IndianRed"> MetaDis (Classical Chinese Biographical Metadata Disambiguation)</font>
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[](https://colab.research.google.com/drive/1UcyhdfX5_NuZ87XR1fUmMACJ7qY-nn-P#scrollTo=cd-iH6OLpIeV)
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