Token Classification
Transformers
ONNX
Safetensors
modernbert
ner
on-device
privacy
flowx
openner
banking
de-identification
Instructions to use flowxai/txnclassify with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flowxai/txnclassify with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="flowxai/txnclassify")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("flowxai/txnclassify") model = AutoModelForTokenClassification.from_pretrained("flowxai/txnclassify", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 243 Bytes
10a0917 | 1 2 3 4 5 6 7 8 9 10 11 | {
"test_loss": 4.7460716245950607e-07,
"test_precision": 1.0,
"test_recall": 1.0,
"test_f1": 1.0,
"test_accuracy": 1.0,
"test_runtime": 4.283,
"test_samples_per_second": 933.93,
"test_steps_per_second": 29.185,
"epoch": 3.0
} |