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:
- 5fdfe03463ea2873bca045a80edf93388d4577f20297e545dfa24263adebeba5
- Size of remote file:
- 2.24 GB
- SHA256:
- 89d7d81bc4eb8959450835c28fdd066715ead2bd6f8a7039c86a1415e164b5fc
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