SentenceTransformer based on kinit/slovakbert-sts-stsb

This is a sentence-transformers model finetuned from kinit/slovakbert-sts-stsb. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.

Model Details

Model Description

  • Model Type: Sentence Transformer
  • Base model: kinit/slovakbert-sts-stsb
  • Maximum Sequence Length: 256 tokens
  • Output Dimensionality: 768 dimensions
  • Similarity Function: Cosine Similarity

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