adriacabeza/DeepCatalan

🤖 Deep Catalan: Bring closer the Catalan Language to Deep Learning using ULMFit.

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This project provides pre-trained language models for the Catalan language, built using the ULMFit method. It takes a large corpus of Catalan text, like Wikipedia articles, to generate a foundational model. This model can then be fine-tuned with smaller, specific datasets to perform various natural language processing tasks. It's designed for data scientists, machine learning engineers, and researchers working with text in Catalan who need accurate language models.

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Use this if you need to build AI applications that understand or process text specifically in Catalan, such as sentiment analysis, topic classification, or chatbots.

Not ideal if your project involves languages other than Catalan, or if you require models specifically built on transformer architectures like BERT from scratch.

Catalan language processing NLP text classification language models AI development
No License Stale 6m No Package No Dependents
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Adoption 5 / 25
Maturity 8 / 25
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Last pushed

Oct 15, 2020

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