Instructions to use Firdania/sindesa-indobert-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Firdania/sindesa-indobert-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Firdania/sindesa-indobert-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Firdania/sindesa-indobert-ner") model = AutoModelForTokenClassification.from_pretrained("Firdania/sindesa-indobert-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "test_loss": 0.00833163782954216, | |
| "test_precision": 0.9804793674326662, | |
| "test_recall": 0.9900199600798403, | |
| "test_f1": 0.9852265673494723, | |
| "test_accuracy": 0.9981766612641815, | |
| "test_runtime": 11.6555, | |
| "test_samples_per_second": 119.515, | |
| "test_steps_per_second": 7.55 | |
| } |