Token Classification
Transformers
ONNX
Safetensors
modernbert
ner
on-device
privacy
flowx
openner
banking
de-identification
Instructions to use flowxai/panredact with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flowxai/panredact with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="flowxai/panredact")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("flowxai/panredact") model = AutoModelForTokenClassification.from_pretrained("flowxai/panredact", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ad05a8ddbdb237ac40f02b59ee0a966371fcd5358883fcc1c70b911975d8a8e
- Size of remote file:
- 5.2 kB
- SHA256:
- 1263023be743a116336dd242ec36b8334f2a34b796a5f589f1d0a6d0b7dc3719
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