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
File size: 346 Bytes
032a61f | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"epoch": 5.0,
"eval_accuracy": 0.9921047909563969,
"eval_f1": 0.9348627611634575,
"eval_loss": 0.048187438398599625,
"eval_precision": 0.9337152209492635,
"eval_recall": 0.9360131255127153,
"eval_runtime": 2.8467,
"eval_samples": 961,
"eval_samples_per_second": 337.589,
"eval_steps_per_second": 21.429
} |