Text Classification
PEFT
Safetensors
Korean
ai-text-detection
authorship-analysis
korean
fiction
stylometry
Instructions to use Baragi-AI/Munche-768-AI-Detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Baragi-AI/Munche-768-AI-Detector with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
File size: 633 Bytes
f3d5a27 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | {
"architecture": "EmbeddingGemma with Munche-768 initialization, detector-tuned LoRA, and linear head",
"base_encoder": "google/embeddinggemma-300m",
"initial_adapter": "Baragi-AI/Munche-768",
"embedding_dim": 768,
"labels": {
"0": "human",
"1": "llm"
},
"max_tokens": 2048,
"supported_token_range": [384, 2048],
"selected_step": 275,
"updated_lora_layers": [20, 21, 22, 23],
"trainable_lora_parameters": 1392640,
"trainable_head_parameters": 769,
"seed": 20260727,
"three_way_thresholds": {
"human_max": 0.5,
"ai_min": 0.8696600198745728,
"human_as_ai_validation_target": 0.05
}
}
|