Instructions to use universalner/uner_chn_gsdsimp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use universalner/uner_chn_gsdsimp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="universalner/uner_chn_gsdsimp")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("universalner/uner_chn_gsdsimp") model = AutoModelForTokenClassification.from_pretrained("universalner/uner_chn_gsdsimp") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 081f676cb5e164219a3f018a61b79ad15a4fd4a4a2dce4925760e5130c07415f
- Size of remote file:
- 4.02 kB
- SHA256:
- 198fa8cb8931924cf93af51f26749b5ed31467596210d5c0ba33e7e53d0bbbce
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