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:
- b848108d76e576de046e7dfd7e718af1254d955e7ea84c1dbba806161f01693f
- Size of remote file:
- 409 MB
- SHA256:
- f57638996b07a847c2db91fe3315820fe6b5af685b108c05a18a64c51ebea07d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.