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Bert Fa Base Uncased Wikinli Mean Tokens
B
Bert Fa Base Uncased Wikinli Mean Tokens
Developed by m3hrdadfi
A Persian sentence embedding model based on ParsBERT for generating high-quality sentence vector representations
Downloads 555
Release Time : 3/2/2022
Model Overview
This model utilizes the ParsBERT architecture combined with sentence transformer technology, specifically designed to generate semantically rich sentence embeddings for Persian text, suitable for various Persian NLP tasks
Model Features
Persian Language Optimization
Specially optimized for Persian text, providing more accurate semantic representations
Sentence-level Embedding
Capable of generating vector representations for entire sentences, rather than embeddings for individual words
Open Source License
Released under Apache 2.0 license, allowing both commercial and research use
Model Capabilities
Persian sentence semantic encoding
Text similarity calculation
Semantic search
Clustering analysis
Use Cases
Information Retrieval
Persian Semantic Search
Building a Persian search engine based on semantics rather than keywords
Improves the relevance and accuracy of search results
Text Analysis
Document Similarity Calculation
Comparing semantic similarity between Persian documents
Can be used for document clustering or recommendation systems
Transformers
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