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: 327 Bytes
bf52f2e | 1 2 3 4 5 6 7 8 9 10 | {
"predict_accuracy": 0.9929953594256195,
"predict_f1": 0.9617422012948793,
"predict_loss": 0.056257136166095734,
"predict_precision": 0.9589201877934272,
"predict_recall": 0.9645808736717828,
"predict_runtime": 1.4293,
"predict_samples_per_second": 364.515,
"predict_steps_per_second": 23.088
} |