KR-SBERT-V40K-klueNLI-augSTS
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
Params
—
Context
512
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Specifications
- Architecture
- BertModel
- Context length
- 512
- Vocabulary
- 40,000
- Layers / heads
- 12 / 12
- First seen on the Hub
- 2022-05-03
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Compare with any sentence-similarity model