Token Classification
Transformers
ONNX
Safetensors
modernbert
ner
on-device
privacy
flowx
openner
banking
de-identification
Instructions to use flowxai/sanctionscreen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flowxai/sanctionscreen with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="flowxai/sanctionscreen")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("flowxai/sanctionscreen") model = AutoModelForTokenClassification.from_pretrained("flowxai/sanctionscreen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "test_loss": 7.403320978482952e-07, | |
| "test_precision": 1.0, | |
| "test_recall": 1.0, | |
| "test_f1": 1.0, | |
| "test_accuracy": 1.0, | |
| "test_runtime": 4.435, | |
| "test_samples_per_second": 901.91, | |
| "test_steps_per_second": 28.185, | |
| "epoch": 3.0 | |
| } |