Instructions to use universalner/uner_eng_ewt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use universalner/uner_eng_ewt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="universalner/uner_eng_ewt")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("universalner/uner_eng_ewt") model = AutoModelForTokenClassification.from_pretrained("universalner/uner_eng_ewt") - Notebooks
- Google Colab
- Kaggle
| { | |
| "predict_accuracy": 0.9851775112563255, | |
| "predict_f1": 0.8602941176470588, | |
| "predict_loss": 0.08734852075576782, | |
| "predict_precision": 0.8634686346863468, | |
| "predict_recall": 0.8571428571428571, | |
| "predict_runtime": 4.5981, | |
| "predict_samples_per_second": 451.925, | |
| "predict_steps_per_second": 28.273 | |
| } |