SentenceTransformer based on BAAI/bge base en v1.5 This is a sentence transformers model finetuned from BAAI/bge base en v1.5. 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: BAAI/bge base en v1.5 Maximum Sequence Length: 512 tokens Output Dimensionality: 768 tokens 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 Training Dataset Unnamed Dataset Size: 45 training samples Columns: anchor and positive Approximate statistics based on the first 45 samples: anchor positive : : : type string string details min: 143 tokens mean: 178.76 tokens max: 258 tokens min: 141 tokens mea…
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