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:
- 3f2c50ffc445a973b1de33b288baa5a31b5240351810f7b6fe8fcbffe7459be9
- Size of remote file:
- 598 MB
- SHA256:
- b64cccd44af5db3c910c36ee9b0616b43df43b302a9f02f7ada83056190bcbdc
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