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summarization-and-translation-from-youtube-videos-using-mt5-multilanguage-tranformers-architecture.'s Introduction

Capstone-Project-Deep-Learning

Summarization:

I'll use the HuggingFace's transformers library to fine-tune a pretrained summarization module which summarize texts in Spanish using the fine-tuned multilanguage mT5 encoder/decorder architecture.

Neural Machine Translation:

I’ll use the HuggingFace’s transformers library to fine-tune a pretrained NMT module which translates texts from Spanish to English using the multilanguage mT5 encoder/decorder architechture.

Flask End-to-End Deep learning APP: Front-end and Back-end using the pretrained models and deployed with Flask

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