Instructions to use violetar/Ner-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use violetar/Ner-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="violetar/Ner-model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("violetar/Ner-model") model = AutoModelForTokenClassification.from_pretrained("violetar/Ner-model") - Notebooks
- Google Colab
- Kaggle
File size: 319 Bytes
3d341e3 | 1 2 3 4 5 6 7 8 9 10 11 | {
"epoch": 2.0,
"test_accuracy": 0.9749472650041899,
"test_f1": 0.8915077989601387,
"test_loss": 0.30494070053100586,
"test_precision": 0.8730482009504412,
"test_recall": 0.9107648725212465,
"test_runtime": 201.6979,
"test_samples_per_second": 17.12,
"test_steps_per_second": 1.071
} |