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formray/prism-detection-fakespot-onnx
prism-detection-fakespot-onnx is a machine learning model from formray. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
ONNX export of fakespot-ai/roberta-base-ai-text-detection-v1 for use as a detection preset in PRISM.
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.onnx499 MB · 99%
From the Hugging Face model README
ONNX export of fakespot-ai/roberta-base-ai-text-detection-v1 for use as a detection preset in PRISM.
This model is available as an experimental preset in PRISM. It has not yet been promoted to production default.
| Metric | Value |
|---|---|
| Accuracy | 77.5% |
| F1 | 0.775 |
| FPR | 22.5% |
| Non-EN FPR | 24.2% |
| Mean Latency | ~690 ms |
| Dataset | 320 samples (stratified, multilingual) |
Compared to legacy presets (Light/Balanced/Accurate) which score 53-55% accuracy and 67-75% FPR on the same dataset.
| File | Size | SHA256 |
|---|---|---|
model.onnx | 499 MB | 1f6940bf3a527da52c86407ebfb4f1f2b66574fa28318b3f151caee4e2235ed3 |
tokenizer.json | 3.6 MB | ebea7a057f31d0c355148f865d22538337d0209d3abf1b21a0336879bf927308 |
config.json | 796 B | — |
Original model by FakeSpot AI. Exported to ONNX using optimum-cli for local inference in PRISM.
MIT — same as the original model.