Instructions to use universalner/uner_cro_set with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use universalner/uner_cro_set with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="universalner/uner_cro_set")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("universalner/uner_cro_set") model = AutoModelForTokenClassification.from_pretrained("universalner/uner_cro_set") - Notebooks
- Google Colab
- Kaggle
| { | |
| "predict_accuracy": 0.993239901071723, | |
| "predict_f1": 0.9496096522356282, | |
| "predict_loss": 0.040602121502161026, | |
| "predict_precision": 0.945583038869258, | |
| "predict_recall": 0.9536707056307911, | |
| "predict_runtime": 3.1981, | |
| "predict_samples_per_second": 355.524, | |
| "predict_steps_per_second": 22.513 | |
| } |