paraphrase spanish distilroberta This is a sentence transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search. We follow a teacher student transfer learning approach to train an bertin roberta base spanish model using parallel EN ES sentence pairs. Usage (Sentence Transformers) Using this model becomes easy when you have sentence transformers installed: Then you can use the model like this: Usage (HuggingFace Transformers) Without sentence transformers, you can use the model like this: First, you pass your input through the transformer model, then you have to apply the right pooling operation on top of the contextualized word embeddings. Full Model Architecture Evaluation Results Similarity Evaluation on STS 2017.es en.txt and STS 2017.es es.txt (translated manually for evaluation purposes) We measure the semantic textual similarity (STS) between sentence pairs in different languages: ES ES cosine pearson cosine spearman manhattan pearson manhattan spearman euclidean pearson euclidean spearman dot pearson dot spearman 0.8495 0.8579 0.8675 0.8474 0.8676 0.8478 0.8277 0.8258 ES EN cosine pea…
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy