Token Classification
Transformers
PyTorch
Chinese
roberta
chinese
classical chinese
literary chinese
ancient chinese
bert
quotation detection
Instructions to use ethanyt/guwen-quote with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ethanyt/guwen-quote with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ethanyt/guwen-quote")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ethanyt/guwen-quote") model = AutoModelForTokenClassification.from_pretrained("ethanyt/guwen-quote") - Notebooks
- Google Colab
- Kaggle
Guwen Quote
A Classical Chinese Quotation Detector.
Note: There are some problems with decoding using the default sequence classification model. Use the CRF model to achieve the best results. CRF related code please refer to Guwen Models.
See also:
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