Token Classification
Transformers
ONNX
Safetensors
modernbert
ner
on-device
privacy
flowx
openner
cross
de-identification
Instructions to use flowxai/kybextract with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flowxai/kybextract with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="flowxai/kybextract")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("flowxai/kybextract") model = AutoModelForTokenClassification.from_pretrained("flowxai/kybextract", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 243 Bytes
30a2fa2 | 1 2 3 4 5 6 7 8 9 10 11 | {
"test_loss": 8.47950104798656e-07,
"test_precision": 1.0,
"test_recall": 1.0,
"test_f1": 1.0,
"test_accuracy": 1.0,
"test_runtime": 4.8071,
"test_samples_per_second": 832.095,
"test_steps_per_second": 26.003,
"epoch": 3.0
} |