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
File size: 326 Bytes
e0a344c | 1 2 3 4 5 6 7 8 9 10 | {
"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
} |