Trelis / multi-qa-MiniLM-L6-dot-v1-ft-triplets-2-cst-epoch-overlap

Embeddings23M960Updated Jul 2, 2024

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Last updated

Jul 2, 2024

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This is a sentence-transformers model finetuned from sentence-transformers/multi-qa-MiniLM-L6-dot-v1. It maps sentences & paragraphs to a 384-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification…

Tasks & library

  • sentence similarity
  • sentence-transformers

Tags

  • sentence-transformers
  • bert
  • sentence-similarity
  • feature-extraction
  • generated_from_trainer
  • dataset_size:9729

Technical specifications

Parameters23M
Librarysentence-transformers
Languages
LicenseNot available