SentenceTransformer based on sentence transformers/all MiniLM L6 v2 This is a sentence transformers model finetuned with wandb ai from sentence transformers/all MiniLM L6 v2. 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. For this case, it uses for column standardization. Model Details Model Description Model Type: Sentence Transformer Base model: sentence transformers/all MiniLM L6 v2 Maximum Sequence Length: 256 tokens Output Dimensionality: 384 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 Training Dataset Unnamed Dataset Size: 1,786 training samples Columns: sentence 0 , sentence 1 , and label Approximate statistics based on the…
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