SentenceTransformer This is a sentence transformers model trained. 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 Maximum Sequence Length: 512 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 Full Model Architecture Usage Direct Usage (Sentence Transformers) First install the Sentence Transformers library: Then you can load this model and run inference. Click to see the direct usage in Transformers Click to expand Training Details Framework Versions Python: 3.10.16 Sentence Transformers: 3.4.0 Transformers: 4.48.1 PyTorch: 2.5.1+cpu Accelerate: 1.3.0 Datasets: 3.2.0 Tokenizers: 0.21.0 Citation BibTeX
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