Model Card for Model ID

This model is a fine-tuned version of IndoBERT (p2 variant) specifically designed to detect online gambling advertisements.

Model Details

Model Description

The IndoBERT Online Gambling Detector is a sequence classification model aimed at identifying "adversarial" gambling promotions. Unlike standard keyword filters, this model understands the semantic context and varied character representations (leetspeak, unicode fonts, etc.) commonly used by spammers to bypass automated moderation systems.

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

Developed by: Walker Simanjuntak & Gemini AI
Funded by [optional]: Transformer-based Text Classifier
Language(s) (NLP): Indonesia
Finetuned from model [optional]: indobenchmark/indobert-base-p2

Model Sources [optional]

Repository: https://github.com/bluga404/no-judol-indobert-model
Demo [optional]: [More Information Needed]

Downloads last month: 7

Safetensors

Model size

0.1B params

Tensor type

F32

Model tree for walkervs/indobert-detect-judol

Base model

google-bert/bert-base-uncased

Finetuned

(6739)

this model