| tags: | |
| - sentence-transformers | |
| - feature-extraction | |
| - embeddings | |
| - mplads | |
| - lok-sabha | |
| - indian-government | |
| - multilingual | |
| license: apache-2.0 | |
| language: | |
| - en | |
| - hi | |
| - ta | |
| - te | |
| - bn | |
| - mr | |
| - gu | |
| - kn | |
| - ml | |
| - pa | |
| - ur | |
| - or | |
| - as | |
| - sd | |
| - ne | |
| - si | |
| datasets: | |
| - ZeroiJ/mplads-works | |
| # MPLADS Lok Sabha Embedding Model | |
| Fine-tuned [paraphrase-multilingual-MiniLM-L12-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2) for Lok Sabha MPLADS work descriptions. | |
| ## Use with sentence-transformers | |
| ```python | |
| from sentence_transformers import SentenceTransformer | |
| model = SentenceTransformer("ZeroiJ/mplads-ls-encoder") | |
| emb = model.encode("construction of pucca road in Gram Panchayat") | |
| ``` | |
| ## Use with the Hugging Face Inference API | |
| ```bash | |
| curl https://api-inference.huggingface.co/models/ZeroiJ/mplads-ls-encoder \ | |
| -X POST \ | |
| -H "Authorization: Bearer ${HF_TOKEN}" \ | |
| -H "Content-Type: application/json" \ | |
| -d '{"inputs": "construction of pucca road in Gram Panchayat"}' | |
| ``` | |
| ## Model details | |
| - Base: `sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2` | |
| - Fine-tuning objective: cosine-similarity contrastive loss on curated MPLADS work pairs | |
| - Output: 384-dimensional L2-normalized embeddings | |
| - Validation cosine accuracy: ~96.3% | |
| - Built for the MPLADS (SIH26102) fraud-detection demo. | |