Bert Fa Base Uncased Wikitriplet Mean Tokens
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Bert Fa Base Uncased Wikitriplet Mean Tokens
Developed by m3hrdadfi
A Persian sentence embedding model based on ParsBERT for generating high-quality sentence vector representations
Downloads 361
Release Time : 3/2/2022
Model Overview
This model is based on the ParsBERT architecture combined with sentence transformer technology, capable of converting Persian sentences into high-dimensional vector representations, suitable for various natural language processing tasks
Model Features
Persian Language Optimization
A sentence embedding model specifically optimized for Persian
Efficient Vector Representation
Capable of converting sentences into high-quality vector representations
Open Source License
Uses the Apache-2.0 license, allowing commercial use
Model Capabilities
Sentence Vectorization
Semantic Similarity Calculation
Text Clustering
Information Retrieval
Use Cases
Text Similarity
Document Similarity Comparison
Calculate the semantic similarity between two Persian documents
Information Retrieval
Persian Search Engine
Used to build a semantic-based Persian search engine
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