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Turkish Mini Bert Uncased Mean Nli Stsb Tr

Developed by atasoglu
This is a small BERT model based on Turkish, specifically designed for vector representations of sentences and paragraphs, suitable for tasks such as clustering and semantic search.
Downloads 22
Release Time : 2/15/2024

Model Overview

The model maps sentences and paragraphs into a 256-dimensional dense vector space, primarily used for sentence similarity calculation and feature extraction.

Model Features

Turkish language optimization
Specially optimized for Turkish, suitable for processing Turkish text.
Lowercase conversion
All text has been manually converted to lowercase to meet Turkish language processing requirements.
Efficient vector representation
Maps sentences and paragraphs into a 256-dimensional dense vector space, suitable for resource-limited environments.

Model Capabilities

Sentence similarity calculation
Feature extraction
Text clustering
Semantic search

Use Cases

Text processing
Semantic search
Used for building semantic search engines for Turkish.
Text clustering
Performs clustering analysis on Turkish text.
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