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
| { | |
| "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 | |
| } |