Instructions to use universalner/uner_chn_gsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use universalner/uner_chn_gsd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="universalner/uner_chn_gsd")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("universalner/uner_chn_gsd") model = AutoModelForTokenClassification.from_pretrained("universalner/uner_chn_gsd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 007bc891f3db8b606971df1310ea33f7cecc0df25ba4e5427957f574f72e7620
- Size of remote file:
- 4.02 kB
- SHA256:
- c9d90d32ec919c95540800d1e4123e8a3b2344480e0e8f279ccf59da0970b4a4
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