Modelpublic

ZeroiJ/mplads-ls-encoder

sourceHugging Faceapache-2.0updated 19d agoView on Hugging Face

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Model Card

MPLADS Lok Sabha Embedding Model

Fine-tuned 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.