Instructions to use universalner/uner_dan_ddt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use universalner/uner_dan_ddt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="universalner/uner_dan_ddt")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("universalner/uner_dan_ddt") model = AutoModelForTokenClassification.from_pretrained("universalner/uner_dan_ddt") - Notebooks
- Google Colab
- Kaggle
File size: 326 Bytes
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"predict_accuracy": 0.9905217998603213,
"predict_f1": 0.8781038374717832,
"predict_loss": 0.056324806064367294,
"predict_precision": 0.8861047835990888,
"predict_recall": 0.8702460850111857,
"predict_runtime": 1.3741,
"predict_samples_per_second": 411.91,
"predict_steps_per_second": 26.199
} |