Token Classification
Transformers
ONNX
Safetensors
modernbert
ner
on-device
privacy
flowx
openner
banking
de-identification
Instructions to use flowxai/ibandetect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flowxai/ibandetect with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="flowxai/ibandetect")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("flowxai/ibandetect") model = AutoModelForTokenClassification.from_pretrained("flowxai/ibandetect", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 302 Bytes
a5a0227 | 1 2 3 4 5 6 7 8 9 10 11 | {
"test_loss": 0.01292024552822113,
"test_precision": 0.9488248041340224,
"test_recall": 0.9488248041340224,
"test_f1": 0.9488248041340224,
"test_accuracy": 0.9947468386920142,
"test_runtime": 4.4738,
"test_samples_per_second": 894.104,
"test_steps_per_second": 27.941,
"epoch": 3.0
} |