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
File size: 285 Bytes
50e70f2 | 1 2 3 4 5 6 7 8 9 10 | {
"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
} |