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Bge Base En V1.5 Onnx Q
BAAI/bge-base-en-v1.5 is a Transformer-based English text embedding model, primarily used for sentence similarity calculation and text classification tasks.
Downloads 47.21k
Release Time : 1/16/2024
Model Overview
This model is a quantized ONNX ported version, suitable for text classification and similarity search tasks, capable of generating high-quality text embeddings.
Model Features
Efficient Text Embedding
Capable of quickly generating high-quality text embeddings, suitable for large-scale similarity searches.
Quantized ONNX Porting
The model is quantized and ported to ONNX format, improving inference efficiency and reducing resource consumption.
Multi-task Support
Supports various natural language processing tasks such as text classification and sentence similarity calculation.
Model Capabilities
Text Embedding Generation
Sentence Similarity Calculation
Text Classification
Similarity Search
Use Cases
Information Retrieval
Document Similarity Search
Used to quickly find the most similar documents to a query text in a large-scale document library.
Efficiently and accurately returns a list of similar documents.
Text Classification
Sentiment Analysis
Utilizes generated text embeddings for sentiment classification tasks.
Can achieve high classification accuracy.
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