metadata
language: en
license: apache-2.0
tags:
- secret-detection
- onnx
- int8
- cpu-optimized
base_model: hypn05/secrets-sentinel
secrets-sentinel — CPU / ONNX INT8
ONNX INT8-quantized version of hypn05/secrets-sentinel.
~4× smaller, runs efficiently on CPU with <2% accuracy loss.
Usage
from optimum.onnxruntime import ORTModelForSequenceClassification
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("hypn05/secrets-sentinel-cpu")
model = ORTModelForSequenceClassification.from_pretrained("hypn05/secrets-sentinel-cpu")
inputs = tokenizer(["export AWS_SECRET=abc123"], return_tensors="pt", truncation=True, max_length=128)
outputs = model(**inputs)
import torch
probs = torch.softmax(outputs.logits, dim=1)
print("Secret probability:", probs[0][1].item())
Parent model
See hypn05/secrets-sentinel for the full PyTorch model and details.