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Sentence Transformers v6.0 adds support for ColBERT-style late interaction models
What happened
Jeremy Howard highlights support for @answerdotai’s ColBERT model in Sentence Transformers, describing it as amazingly fast, extremely accurate, and only 30M, with local embedding index creation and querying directly in Python. In the quoted announcement, @tomaarsen releases Sentence Transformers v6.0 and introduces MultiVectorEncoder as a first-class model type for ColBERT-style training, inference, and interpretation alongside dense, sparse, and reranker models.
Open sourceDeployment engineeringProduct updates#Product update#Deployment and engineering#Open-source ecosystem#Hugging Face
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