S

Slovakbert Skquad Mnlr

Developed by TUKE-DeutscheTelekom
This is a sentence transformer model based on SlovakBERT, specifically designed for sentence similarity computation and feature extraction tasks.
Downloads 35
Release Time : 2/17/2023

Model Overview

The model is trained on gerulata/slovakbert for generating sentence embeddings, supporting sentence similarity computation and feature extraction.

Model Features

Efficient sentence embeddings
Capable of converting sentences into 768-dimensional dense vector representations
Optimized similarity computation
Trained with MultipleNegativesRankingLoss to optimize sentence similarity computation
Long text support
Supports text inputs up to 300 tokens in length

Model Capabilities

Sentence feature extraction
Sentence similarity computation
Semantic search

Use Cases

Information retrieval
Q&A systems
Used for matching questions with relevant answer passages
Text analysis
Document clustering
Grouping documents based on semantic similarity
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase