Text Classification
Transformers
PyTorch
Chinese
bert
SequenceClassification
Lepton
古文
文言文
ancient
classical
letter
书信标题
Instructions to use cbdb/ClassicalChineseLetterClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cbdb/ClassicalChineseLetterClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cbdb/ClassicalChineseLetterClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cbdb/ClassicalChineseLetterClassification") model = AutoModelForSequenceClassification.from_pretrained("cbdb/ClassicalChineseLetterClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a9f13d580961ce17624428cb9212d4f8bd946fda7a4acd47986e67ff9d716023
- Size of remote file:
- 409 MB
- SHA256:
- c68fae707cfb381bdf4aac5077ac4915c2ec3464b6bc64ddd6f4026fbb9ece3d
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