all_miniLM_L6_v2_with_attentions
| Property | Value |
|---|---|
| License | Apache 2.0 |
| Language | English |
| Downloads | 35,636 |
What is all_miniLM_L6_v2_with_attentions?
This model is an ONNX-optimized version of the sentence-transformers/all-MiniLM-L6-v2 model, specifically enhanced to return attention weights. It's designed for implementing BM42 searches and has been developed by Qdrant for efficient sentence similarity tasks.
Implementation Details
The model is implemented using the FastEmbed framework and is optimized for ONNX runtime execution. It generates sparse text embeddings that can be used for semantic similarity comparisons and BM42 search operations.
- ONNX optimization for improved performance
- Attention weight return capability
- Compatible with FastEmbed framework
- Sparse embedding generation
Core Capabilities
- Sentence similarity computation
- BM42 search optimization
- Sparse text embedding generation
- Attention weight analysis
Frequently Asked Questions
Q: What makes this model unique?
This model stands out due to its specialized optimization for BM42 searches and its ability to return attention weights, making it particularly useful for applications requiring detailed semantic analysis.
Q: What are the recommended use cases?
The model is ideal for sentence similarity tasks, semantic search applications, and scenarios where BM42 search capabilities are needed. It's particularly effective when working with the FastEmbed framework for text embedding generation.
