Spaces:
Sleeping
Sleeping
| # Nepali Text Classifier | |
| ## Overview | |
| This classifier identifies whether Nepali-language text content is written by a human or AI. | |
| ## Model | |
| - Base Model: XLM-Roberta (XLMRClassifier) | |
| - Language: Nepali (Multilingual model) | |
| - Fine-tuned with scraped web content (~18,000 samples) | |
| ## Dataset | |
| - Custom scraped dataset with manual labeling | |
| - Includes news, blogs, and synthetic content from various LLMs | |
| ## Code Location | |
| - Controller: `features/nepali_text_classifier/controller.py` | |
| - Inference: `features/nepali_text_classifier/inferencer.py` | |
| - Model Loader: `features/nepali_text_classifier/model_loader.py` | |
| ## API | |
| - Endpoint: [ENDPOINTS](../api_endpoints.md) | |
| - Input: Raw text | |
| - Output: JSON classification with label and confidence score | |
| [🔙 Back to Main README](../README.md) | |