phishing-email-detection-distilbert-ONNX

ONNX export of cybersectony/phishing-email-detection-distilbert_v2.4.1, packaged for the Lemonade router classifier backend (ort-server).

• Base model: cybersectony/phishing-email-detection-distilbert_v2.4.1
• Task: text-classification
• Labels: LABEL_0, LABEL_1, LABEL_2, LABEL_3

Files

file	purpose
model.onnx	the exported model (input_ids/attention_mask → logits)
tokenizer.json	the original HuggingFace tokenizer
manifest.json	task / labels / normalization for ort-server
export.py	the exact script used to produce & validate these files

Validation after export

Exported from source with 🤗 Optimum and validated against the original PyTorch model on fixtures (ONNX Runtime CPU vs HF): max softmax delta 0.0 (0 = identical).

CPU-EP latency (ONNX Runtime, single input): ~4.01 ms p50 @ 12 tokens.

Reproduce

pip install "optimum[onnxruntime]" transformers torch onnxruntime sentencepiece
python export.py cybersectony/phishing-email-detection-distilbert_v2.4.1 ./out --task text-classification

See validation.json for the recorded parity result.

License

Follows the base model cybersectony/phishing-email-detection-distilbert_v2.4.1; refer to it for terms.