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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ef1f41e82cc88b60991a22ddead29d2d616c31e0765a98b0ceb653309b0703a4
- Size of remote file:
- 413 MB
- SHA256:
- b194c02c32bcf27aaf69ebf747a74e2d662791e62d2a5625865ed5b76cef09d8
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