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
| { | |
| "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 | |
| } | |
| } | |