SentenceTransformer based on sentence transformers/paraphrase multilingual MiniLM L12 v2 This is a sentence transformers model finetuned from sentence transformers/paraphrase multilingual MiniLM L12 v2 on the csv dataset. It maps sentences & paragraphs to a 384 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: sentence transformers/paraphrase multilingual MiniLM L12 v2 Maximum Sequence Length: 128 tokens Output Dimensionality: 384 dimensions 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 Evaluation Metrics Semantic Similarity Dataset: sts dev Evaluated with EmbeddingSimilarityEvaluator Metric Value : : pea…
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