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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
3e456b0 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:bd62cbf3286b2c94711db0903498e52b0b93fed64c2e6697780d5da92fd6b035
size 413473463
|