Instructions to use universalner/uner_ser_set with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use universalner/uner_ser_set with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="universalner/uner_ser_set")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("universalner/uner_ser_set") model = AutoModelForTokenClassification.from_pretrained("universalner/uner_ser_set") - Notebooks
- Google Colab
- Kaggle
File size: 344 Bytes
bf52f2e | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"epoch": 5.0,
"eval_accuracy": 0.9930792962561494,
"eval_f1": 0.9413333333333335,
"eval_loss": 0.04399760439991951,
"eval_precision": 0.9338624338624338,
"eval_recall": 0.9489247311827957,
"eval_runtime": 1.4789,
"eval_samples": 537,
"eval_samples_per_second": 363.114,
"eval_steps_per_second": 22.99
} |