Instructions to use universalner/uner_slo_snk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use universalner/uner_slo_snk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="universalner/uner_slo_snk")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("universalner/uner_slo_snk") model = AutoModelForTokenClassification.from_pretrained("universalner/uner_slo_snk", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "predict_accuracy": 0.9788002512562815, | |
| "predict_f1": 0.8546824542518837, | |
| "predict_loss": 0.12393110990524292, | |
| "predict_precision": 0.8419936373276776, | |
| "predict_recall": 0.8677595628415301, | |
| "predict_runtime": 2.3028, | |
| "predict_samples_per_second": 461.187, | |
| "predict_steps_per_second": 29.096 | |
| } |