lang uk/ukr paraphrase multilingual mpnet base This is a sentence transformers model fine tuned for Ukrainian language: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search. The original model used for fine tuning is sentence transformers/paraphrase multilingual mpnet base v2 . See our paper Contextual Embeddings for Ukrainian: A Large Language Model Approach to Word Sense Disambiguation for details. 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. Citing & Authors If you find this model helpful, feel free to cite our publication Contextual Embeddings for {U}krainian: A Large Language Model Approach to Word Sense Disambiguation: Copyright: Yurii Laba, Volodymyr Mudryi, Dmytro Chaplynskyi, Mariana Romanyshyn, Oles Dobosevych, Ukrainian Catholic University, lang uk…
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