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bert-finetuned-phishing-ONNX
lemonade-sdk/bert-finetuned-phishing-ONNX
bert-finetuned-phishing-ONNX is a text classification model from lemonade-sdk. Use it when you need a label for a piece of text. It is set up for onnx. The card lists the license as apache-2.0.
ONNX export of ealvaradob/bert-finetuned-phishing, packaged for the Lemonade router classifier backend (ort-server).
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Repo size
1.3 GB
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1
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Repo makeup
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.onnx1.3 GB · 100%
At a glance
- Task
- Text Classification
- Library
- onnx
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Jul 10, 2026
- Updated
- Jul 10, 2026
- SHA
- fa844365
Try a prompt
Base models
Model card
From the Hugging Face model README
bert-finetuned-phishing-ONNX
ONNX export of ealvaradob/bert-finetuned-phishing, packaged for the Lemonade router classifier backend (ort-server).
- Base model:
ealvaradob/bert-finetuned-phishing - Task: text-classification
- Labels:
benign,phishing
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): ~26.38 ms p50 @ 12 tokens.
Reproduce
pip install "optimum[onnxruntime]" transformers torch onnxruntime sentencepiece
python export.py ealvaradob/bert-finetuned-phishing ./out --task text-classification
See validation.json for the recorded parity result.
License
Follows the base model ealvaradob/bert-finetuned-phishing; refer to it for terms.
- Task
- Text Classification
- Library
- onnx
- Type
- bert
- License
- apache-2.0
- Created
- Jul 10, 2026
- Updated
- Jul 10, 2026