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:
# Load model directly from transformers import AutoTokenizer, AutoModelForNextSentencePrediction tokenizer = AutoTokenizer.from_pretrained("cbdb/MetaDis") model = AutoModelForNextSentencePrediction.from_pretrained("cbdb/MetaDis") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 329d2d26803480de199bad5054c5c9f74225a8aaaf0182ff4472e672d2ef856a
- Size of remote file:
- 409 MB
- SHA256:
- cea5db33be01198e8eb034136dee1c5351ac8bbce0c1dd956d1e142f73f1ebd5
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