Token Classification
Transformers
ONNX
Safetensors
modernbert
ner
on-device
privacy
flowx
openner
insurance
de-identification
Instructions to use flowxai/policydetect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flowxai/policydetect with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="flowxai/policydetect")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("flowxai/policydetect") model = AutoModelForTokenClassification.from_pretrained("flowxai/policydetect", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8986dab47e913103650b1f8e0b75ccb323504aff55006537904f9dd57ae56704
- Size of remote file:
- 5.2 kB
- SHA256:
- 3a7f079cd118886f43af746543df1dd173601317e18bf0a481619c0f8a96a2db
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