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Jina Embeddings V2 Base Code GGUF
Jina Embeddings V2 Base Code is a transformer-based English text embedding model, specializing in feature extraction and sentence similarity calculation for code-related texts.
Downloads 575
Release Time : 12/10/2024
Model Overview
This model is primarily used to generate high-quality text embeddings, especially suited for processing English texts related to code. It can convert text into 768-dimensional vector representations, applicable to tasks such as information retrieval and semantic search.
Model Features
Long Context Support
Supports context lengths of up to 8192 tokens, making it suitable for processing long documents and code snippets.
High-Quality Embeddings
Generates 768-dimensional high-quality text embeddings that capture deep semantic information.
Code Optimization
Specially optimized for code-related texts, making it ideal for processing programming languages and technical documentation.
Model Capabilities
Text Embedding Generation
Sentence Similarity Calculation
Feature Extraction
Semantic Search
Use Cases
Information Retrieval
Code Search
Search for semantically similar code snippets in a codebase
Improves the accuracy and efficiency of code retrieval
Semantic Analysis
Technical Document Clustering
Automatically group similar technical documents
Enhances document organization and management efficiency
Transformers
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