Kitsunp/Prueba-de-modelo-de-ByteLatentTransformer
Este es una prueba de concepto del paper mencionado de Meta junto a otros papers (falta reunirlos todos)
This project offers a highly efficient way to generate and process text, working directly with the smallest units of data – bytes – rather than whole words. It takes raw text data as input and produces new, coherent text sequences or processed text outputs. This is designed for AI researchers and machine learning engineers who need to experiment with advanced, memory-efficient text models.
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Use this if you are developing or experimenting with advanced language models and need a highly memory-efficient and performant solution for text generation and processing at the byte level.
Not ideal if you are an end-user looking for a ready-to-use text generation application or if you prefer working with pre-trained, word-level models for standard NLP tasks.
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Python
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Apache-2.0
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Last pushed
Jan 06, 2025
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