Token Classification
Transformers
ONNX
Safetensors
modernbert
ner
on-device
privacy
flowx
openner
insurance
de-identification
Instructions to use flowxai/partyresolve with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flowxai/partyresolve with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="flowxai/partyresolve")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("flowxai/partyresolve") model = AutoModelForTokenClassification.from_pretrained("flowxai/partyresolve", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 245 Bytes
587ef2d | 1 2 3 4 5 6 7 8 9 10 11 | {
"test_loss": 4.1015417195922055e-07,
"test_precision": 1.0,
"test_recall": 1.0,
"test_f1": 1.0,
"test_accuracy": 1.0,
"test_runtime": 4.5043,
"test_samples_per_second": 888.036,
"test_steps_per_second": 27.751,
"epoch": 3.0
} |