Token Classification
Transformers
ONNX
Safetensors
modernbert
ner
on-device
privacy
flowx
openner
banking
de-identification
Instructions to use flowxai/kycextract with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flowxai/kycextract with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="flowxai/kycextract")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("flowxai/kycextract") model = AutoModelForTokenClassification.from_pretrained("flowxai/kycextract", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "test_loss": 2.942174148756749e-07, | |
| "test_precision": 1.0, | |
| "test_recall": 1.0, | |
| "test_f1": 1.0, | |
| "test_accuracy": 1.0, | |
| "test_runtime": 4.508, | |
| "test_samples_per_second": 887.312, | |
| "test_steps_per_second": 27.729, | |
| "epoch": 3.0 | |
| } |