Token Classification
Transformers
PyTorch
Chinese
roberta
chinese
classical chinese
literary chinese
ancient chinese
bert
punctuation marker
Instructions to use ethanyt/guwen-punc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ethanyt/guwen-punc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ethanyt/guwen-punc")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ethanyt/guwen-punc") model = AutoModelForTokenClassification.from_pretrained("ethanyt/guwen-punc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c5687a3d538880ab75f15a43d74dc7534082e234e828dce5d0e02ab692513847
- Size of remote file:
- 413 MB
- SHA256:
- bd62cbf3286b2c94711db0903498e52b0b93fed64c2e6697780d5da92fd6b035
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