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")# pip install -U transformers accelerate # 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
Download onnx/model.onnx from flowxai/policydetect: direct link, hf CLI and curl.
- Browser
- Download file 2.62 MB
-
https://huggingface.co/flowxai/policydetect/resolve/main/onnx/model.onnx
- Command line
-
hf download hf://flowxai/policydetect/onnx/model.onnx
-
curl -L -o model.onnx https://huggingface.co/flowxai/policydetect/resolve/main/onnx/model.onnx
2.62 MB
- Xet hash:
- c22455fa59727d4c8820bc063eea6f65c4c16661874c4c7900c43c99688b9089
- Size of remote file:
- 2.62 MB
- SHA256:
- 5d0e1969fc83ad64cceaa65549bb4515169c94d9ab6b99e10fd2b2b91f238d67
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