Downloads · 30 days
43
11% of all-time downloads
khasi-english-semantic-search
MWirelabs/khasi-english-semantic-search
khasi-english-semantic-search is a sentence similarity model from MWirelabs. Use it when you need a score for how close two texts are. It is set up for sentence-transformers. The card lists the license as cc0-1.0.
First production-ready semantic search model for Khasi-English language pairs.
All-time downloads
394
Public
Parameters
22.7M
90.9 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors90.9 MB · 99%
At a glance
- Task
- Sentence Similarity
- Library
- sentence-transformers
- License
- cc0-1.0
- Model type
- bert
- Access
- Public
- Created
- Aug 24, 2025
- Updated
- Aug 24, 2025
- SHA
- 4c4abbed
Model card
From the Hugging Face model README
Khasi-English Semantic Search Model
First production-ready semantic search model for Khasi-English language pairs.
Overview
This model enables semantic search between English and Khasi languages, supporting Northeast India's linguistic diversity. Trained on 66,794 English-Khasi translation pairs.
Use Cases
- Cross-lingual semantic search (English ↔ Khasi)
- Document similarity in bilingual contexts
- Cultural content discovery for Northeast India
- Educational language learning tools
Performance
- English-Khasi similarity: 0.69-0.74
- Model size: ~90MB (lightweight deployment)
- 384-dimensional embeddings
Quick Start
from sentence_transformers import SentenceTransformer
model = SentenceTransformer('MWirelabs/khasi-english-semantic-search')
sentences = ['Hello', 'hangne', 'Good morning']
embeddings = model.encode(sentences)
Developed by MWirelabs for Northeast India AI innovation.
- Task
- Sentence Similarity
- Library
- sentence-transformers
- Type
- bert
- License
- cc0-1.0
- Languages
- en, kha
- Created
- Aug 24, 2025
- Updated
- Aug 24, 2025