MPLADS Lok Sabha Embedding Model
Fine-tuned paraphrase-multilingual-MiniLM-L12-v2 for Lok Sabha MPLADS work descriptions.
Use with sentence-transformers
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
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.