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
| { | |
| "predict_accuracy": 0.9845987345987346, | |
| "predict_f1": 0.8938110749185669, | |
| "predict_loss": 0.07004562020301819, | |
| "predict_precision": 0.8886010362694301, | |
| "predict_recall": 0.8990825688073395, | |
| "predict_runtime": 2.1474, | |
| "predict_samples_per_second": 233.31, | |
| "predict_steps_per_second": 14.902 | |
| } |