Train 400x faster Static Embedding Models with Sentence Transformers
New model
Hugging Face introduces a training method for static embedding models that are 100x to 400x faster on CPU than state-of-the-art models while retaining about 85% of performance.
They release two models (for English retrieval and multilingual similarity), training scripts, and datasets.
