SentenceTransformer based on keepitreal/vietnamese sbert This is a sentence transformers model finetuned from keepitreal/vietnamese sbert on the csv dataset. 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: keepitreal/vietnamese sbert Maximum Sequence Length: 256 tokens Output Dimensionality: 768 tokens Similarity Function: Cosine Similarity Training Dataset: csv 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 csv Dataset: csv Size: 132,997 training samples Columns: anchor and positive Approximate statistics based on the first 1000 samples: anchor positive : : : type string string details min:…
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