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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 326 Bytes
ace555e | 1 2 3 4 5 6 7 8 9 10 | {
"predict_accuracy": 0.9847652347652348,
"predict_f1": 0.8955223880597015,
"predict_loss": 0.07832479476928711,
"predict_precision": 0.8914728682170543,
"predict_recall": 0.8996088657105606,
"predict_runtime": 2.1332,
"predict_samples_per_second": 234.864,
"predict_steps_per_second": 15.001
} |