Instructions to use universalner/uner_dan_ddt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use universalner/uner_dan_ddt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="universalner/uner_dan_ddt")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("universalner/uner_dan_ddt") model = AutoModelForTokenClassification.from_pretrained("universalner/uner_dan_ddt") - Notebooks
- Google Colab
- Kaggle
File size: 346 Bytes
234aff0 | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"epoch": 5.0,
"eval_accuracy": 0.9939024390243902,
"eval_f1": 0.8994708994708994,
"eval_loss": 0.033292997628450394,
"eval_precision": 0.9018567639257294,
"eval_recall": 0.8970976253298153,
"eval_runtime": 1.4533,
"eval_samples": 565,
"eval_samples_per_second": 388.762,
"eval_steps_per_second": 24.771
} |