metadata
tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- generated_from_trainer
- dataset_size:500000
- loss:CosineSimilarityLoss
base_model: kinit/slovakbert-sts-stsb
pipeline_tag: sentence-similarity
library_name: sentence-transformers
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
Model Sources
- Documentation: Sentence Transformers Documentation
- Repository: Sentence Transformers on GitHub
- Hugging Face: Sentence Transformers on Hugging Face