Token Classification
Transformers
PyTorch
Chinese
roberta
chinese
classical chinese
literary chinese
ancient chinese
bert
sentence segmentation
Instructions to use ethanyt/guwen-seg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ethanyt/guwen-seg with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ethanyt/guwen-seg")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ethanyt/guwen-seg") model = AutoModelForTokenClassification.from_pretrained("ethanyt/guwen-seg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd38f54ec56259c88d93076414019f5c350d62e6f65e16c620ff67252384bd35
- Size of remote file:
- 413 MB
- SHA256:
- cec6318c6f5c4606be3eaa4e2b47d52e52a8528a4f5457d20e4a8fea059dff47
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