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The **roberta-large-ca-v2-massive** is a Intent Classification model for the Catalan language fine-tuned from the roberta-large-ca-v2 model, a [RoBERTa](https://arxiv.org/abs/1907.11692) large model pre-trained on a medium-size corpus collected from publicly available corpora and crawlers.
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## Intended uses and limitations
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The **roberta-large-ca-v2-massive** model can be used for intent prediction in plain text sentences. It can be used in combination with an Automatic Speech Recognition model in order to implement a Voice Assistant. The model is limited by its training dataset and may not generalize well for all use cases.
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The **roberta-large-ca-v2-massive** is a Intent Classification model for the Catalan language fine-tuned from the roberta-large-ca-v2 model, a [RoBERTa](https://arxiv.org/abs/1907.11692) large model pre-trained on a medium-size corpus collected from publicly available corpora and crawlers.
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The model uses [MASSIVE 1.1](https://huggingface.co/datasets/AmazonScience/massive), a parallel dataset of > 1M utterances across 52 languages with annotations for the Natural Language Understanding tasks of intent prediction and slot annotation. Utterances span 60 intents and include 55 slot types.
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## Intended uses and limitations
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The **roberta-large-ca-v2-massive** model can be used for intent prediction in plain text sentences. It can be used in combination with an Automatic Speech Recognition model in order to implement a Voice Assistant. The model is limited by its training dataset and may not generalize well for all use cases.
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