all-MiniLM-L6-v2
A compact and efficient pre-trained sentence embedding model, widely used for generating vector representations of text. It's a popular choice for applications requiring fast and accurate semantic search, often integrated with vector databases.
About this tool
all-MiniLM-L6-v2
Description
"all-MiniLM-L6-v2" is a sentence-transformers model that maps sentences and paragraphs to a 384-dimensional dense vector space.
Features
- Generates 384-dimensional dense vector representations of text.
- Can be used for tasks like clustering or semantic search.
- Supports usage with the Sentence-Transformers library.
- Supports usage with the HuggingFace Transformers library.
- Compatible with PyTorch, TensorFlow, Rust, ONNX, Safetensors, and OpenVINO frameworks.
- Licensed under Apache-2.0.
- Supports the English language.
- Associated with
bert,feature-extraction, andtext-embeddings-inferencecategories.
Intended Uses
- Clustering
- Semantic search