trentmkelly/slop-detector
By trentmkelly · ↓ 5 · ♥ 4 · Updated 2025-06-14
What's in this repo
This page lists the files in trentmkelly/slop-detector, including model.onnx, model_bnb4.onnx, model_fp16.onnx and more.
- 8 ONNX models (.onnx files)
- 27 files, including 8 .onnx, 7 .json, 2 .safetensors, 2 .pt, 2 .bin, 1 .md
- Last updated 2025-06-14
ONNX files
| File | Size | Download |
|---|---|---|
| onnx/model.onnx | — | Download |
| onnx/model_bnb4.onnx | — | Download |
| onnx/model_fp16.onnx | — | Download |
| onnx/model_int8.onnx | — | Download |
| onnx/model_q4.onnx | — | Download |
| onnx/model_q4f16.onnx | — | Download |
| onnx/model_quantized.onnx | — | Download |
| onnx/model_uint8.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
library_name: transformers tags:
- autotrain
- text-classification base_model: thenlper/gte-base widget:
- text: "Wow, thanks for sharing this totally rad post, bro!"
NOTICE
Old model. Please use https://huggingface.co/trentmkelly/slop-detector-mini-2 instead. Faster and more accurate, trained on more data.
Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 0.03548985347151756
f1: 0.9950522264980759
precision: 0.9945054945054945
recall: 0.9955995599559956
auc: 0.9997361672360855
accuracy: 0.995049504950495
Purpose
I trained this on a bunch of top-level comments on reddit. Human class was the real responses to selfposts in various subs, and the LLM class was a response from one of several LLMs to the same post. I am tired of reading fucking GPT-slop comments on reddit.
Notes
Converted ONNX model is available for compatibility with transformers.js. Browser extension and mini version coming soon.
Model info
Created: 2025-05-29
Updated: 2025-06-14
View on Hugging Face