amankrai28/fakespot-roberta-ai-detector-onnx
By amankrai28 · ↓ 10 · ♥ 0 · Updated 2026-03-21
What's in this repo
This page lists the files in amankrai28/fakespot-roberta-ai-detector-onnx, including model_quantized.onnx.
- 1 ONNX models (.onnx files)
- 9 files, including 5 .json, 1 .md, 1 .txt, 1 .onnx
- Last updated 2026-03-21
ONNX files
| File | Size | Download |
|---|---|---|
| onnx/model_quantized.onnx | — | Download |
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
Fakespot RoBERTa AI Detector — ONNX (Quantized INT8)
Quantized ONNX export of fakespot-ai/roberta-base-ai-text-detection-v1 for use with Transformers.js.
Upload Instructions
-
Create a new HuggingFace repository:
huggingface-cli login huggingface-cli repo create fakespot-roberta-ai-detector-onnx --type model -
Clone and push all files from this directory:
git clone https://huggingface.co/YOUR_USERNAME/fakespot-roberta-ai-detector-onnx cp -r benchmark/hf-upload/* fakespot-roberta-ai-detector-onnx/ cd fakespot-roberta-ai-detector-onnx git lfs install git lfs track "*.onnx" git add . git commit -m "Add quantized ONNX model for Transformers.js" git push -
Update
offscreen.jswith your repo ID:pipeline('text-classification', 'YOUR_USERNAME/fakespot-roberta-ai-detector-onnx', { dtype: 'q8' })
Model Details
- Source: fakespot-ai/roberta-base-ai-text-detection-v1
- Architecture: RoBERTa-base (125M params)
- Quantization: INT8 dynamic (avx512_vnni via Optimum)
- Size: ~120MB (q8) vs ~499MB (fp32)
- Labels:
{0: "Human", 1: "AI"} - License: Apache 2.0
Model info
Created: 2026-03-21
Updated: 2026-03-21
View on Hugging FaceFiles (9)
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