Instructions to use universalner/uner_eng_ewt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use universalner/uner_eng_ewt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="universalner/uner_eng_ewt")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("universalner/uner_eng_ewt") model = AutoModelForTokenClassification.from_pretrained("universalner/uner_eng_ewt") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.9865203387808661, | |
| "eval_f1": 0.8393039918116683, | |
| "eval_loss": 0.07336889207363129, | |
| "eval_precision": 0.8282828282828283, | |
| "eval_recall": 0.8506224066390041, | |
| "eval_runtime": 4.1201, | |
| "eval_samples": 2002, | |
| "eval_samples_per_second": 485.91, | |
| "eval_steps_per_second": 30.582 | |
| } |