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slop-detector-bert
gouwsxander/slop-detector-bert
slop-detector-bert is a machine learning model from gouwsxander. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
A simple model to detect AI-written content.
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Dec 10, 2025
- Updated
- Dec 10, 2025
- SHA
- 5546e814
Base models
Datasets
Model card
From the Hugging Face model README
Slop Detector
A simple model to detect AI-written content.
Model Details
This model is a PEFT of bert-base-cased.
It was trained on a dataset of scraped paragraphs from Wikipedia, as well as AI rewrites of said paragraphs.
More detail about the training data can be found here.
Usage
The basic usage is as follows:
from transformers import pipeline
classifier = pipeline("text-classification", model="gouwsxander/slop-detector-bert")
inputs: str | list[str] | dict[str, str] | list[dict[str, str]] = ...
results = classifier(inputs)
Texts with label LABEL_1 are estimated to be produced by an AI.
You may get a warning about weights being initialized, but these can be ignored.
Limitations
- 512 token context window
- Trained one paragraph at a time
- Only trained on Wikipedia-style text
- Only trained on AI data generated by GPT 5 Nano
- Library
- peft
- License
- apache-2.0
- Languages
- en
- Created
- Dec 10, 2025
- Updated
- Dec 10, 2025