This is work in progress
Goal: Nlp and transfer learning to predict literary categories of books.
Does transformers library-->BETO pre-trained model produce better results?
Input: text with the descriptions of the books.
Code in Python.
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Tu-Libro-a-Ciegas/TLAC_model
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To predict the literary category of the inventory books.
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