Model Distiluse Base Multilingual Cased V1 50 Epochs
This is a sentence-transformers-based model capable of mapping sentences and paragraphs into a 512-dimensional dense vector space, suitable for tasks like sentence similarity calculation, clustering, and semantic search.
Downloads 2,033
Release Time : 3/2/2022
Model Overview
The model employs a Transformer architecture to convert text into high-dimensional vector representations, facilitating semantic similarity computation and information retrieval.
Model Features
Efficient Sentence Embedding
Capable of quickly converting sentences into 512-dimensional dense vector representations.
Semantic Similarity Calculation
Optimized for sentence similarity comparison tasks.
Lightweight Architecture
Lightweight Transformer architecture based on DistilBERT.
Model Capabilities
Sentence Vectorization
Semantic Similarity Calculation
Text Clustering
Semantic Search
Use Cases
Information Retrieval
Similar Document Retrieval
Find semantically similar documents based on query sentences.
Text Analysis
Text Clustering
Automatically group semantically similar texts.
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