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A newer version of the Gradio SDK is available:
5.21.0
metadata
title: LaBSE Kbd V0.1
emoji: π
colorFrom: green
colorTo: blue
sdk: gradio
sdk_version: 5.20.0
app_file: app.py
pinned: false
short_description: LaBSE-kbd Cross-Lingual Sentence Similarity Demo
LaBSE-kbd Cross-Lingual Sentence Similarity Demo
This Gradio space demonstrates the capabilities of the panagoa/LaBSE-kbd-v0.1 model for cross-lingual sentence similarity. The model supports 109 languages including Kabardian, Russian, English, Turkish, and many others.
Features
- Compare sentences between different languages (not limited to Russian and Kabardian)
- Get similarity scores based on semantic meaning
- Explore pre-defined examples
- Visualize how well the model understands cross-lingual semantic similarity
How to Use
- Enter text in the first input box (any language, e.g., Russian, English, Turkish)
- Enter text in the second input box (any language, e.g., Kabardian, Russian, English)
- Click "Compute Similarity"
- View the similarity score
You can compare sentences between any of the 111 languages supported by the model. Try comparing the same meaning across different languages!
About the Model
LaBSE-kbd-v0.1 is a fine-tuned version of Google's Language-agnostic BERT Sentence Embedding (LaBSE) model, specifically enhanced to support the Kabardian language. It can map sentences from 111 languages (including Kabardian) to a shared vector space, enabling cross-lingual similarity comparisons.
Technical Details
- Base Model: sentence-transformers/LaBSE
- Fine-tuned for: Kabardian language
- Architecture: BERT-based with sentence transformer approach
- Embedding dimension: 768