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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 326 Bytes
defa124 | 1 2 3 4 5 6 7 8 9 10 | {
"predict_accuracy": 0.9851775112563255,
"predict_f1": 0.8602941176470588,
"predict_loss": 0.08734852075576782,
"predict_precision": 0.8634686346863468,
"predict_recall": 0.8571428571428571,
"predict_runtime": 4.5981,
"predict_samples_per_second": 451.925,
"predict_steps_per_second": 28.273
} |