Tooling
Sentence Transformers adds multimodal embedding and reranker training
Hugging Face's Sentence Transformers library now supports training multimodal embedding and reranker models, enabling developers to build custom vision-language models without starting from scratch.
1 min read
SourceHugging Face Blog
Hugging Face released new multimodal training capabilities for Sentence Transformers, its open-source library for computing sentence embeddings and semantic search. The update allows developers to train custom embedding and reranker models that work across text and image inputs, expanding the toolki...
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Method & sources
- Source type
- Primary publication (lab/vendor blog) — our analysis + implication
- Source link
- Hugging Face Blog
- Published
- UTC
- Byline
- By the gotcontext.ai team (editorial standards)
- Correction?
- corrections@gotcontext.ai