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
| { | |
| "predict_accuracy": 0.9905217998603213, | |
| "predict_f1": 0.8781038374717832, | |
| "predict_loss": 0.056324806064367294, | |
| "predict_precision": 0.8861047835990888, | |
| "predict_recall": 0.8702460850111857, | |
| "predict_runtime": 1.3741, | |
| "predict_samples_per_second": 411.91, | |
| "predict_steps_per_second": 26.199 | |
| } |