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Vyakyarth - Multilingual Sentence Embedding Model

Vyakyarth is a sentence-transformers-based model fine-tuned for Indic languages, capable of mapping text to a 768-dimensional dense vector space for semantic search, similarity, classification, and clustering tasks.

About Model

Vyakyarth is a multilingual sentence embedding model designed for Indic languages. Developed by Krutrim AI Labs, it is fine-tuned from stsb-xlm-r-multilingual, leveraging sentence-transformers to encode sentences and paragraphs into 768-dimensional embeddings. The model supports a wide range of NLP tasks, including semantic textual similarity, semantic search, paraphrase mining, text classification, and clustering. Built on XLM-RoBERTa, Vyakyarth ensures high-quality representations across multiple Indian languages, making it ideal for applications in search engines, recommendation systems, and multilingual NLP research.

Vyakyarth - Multilingual Sentence Embedding Model

Metadata Metadata

Krutrim Community License Agreement Version 1.0

Ola Krutrim

Large Language Models

N.A.

Open

Ola Krutrim

Sector Agnostic

28/02/25 07:00:46

0

Activity Overview Activity Overview

  • Downloads0
  • Redirect 38
  • Views 519
  • File Size 0

Tags Tags

  • sentence embedding
  • NLP
  • Indic Languages
  • semantic search
  • text similarity
  • paraphrase mining
  • Krutrim AI
  • XLM-RoBERTa
  • Deep Learning
  • Multilingual AI

License Control License Control

Krutrim Community License Agreement Version 1.0

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