Language Translation with T5 Transformer
The Language Translation endeavor involves a natural language processing challenge focused on utilizing the T5 Transformer model to achieve text translation between different languages. Developed by Google Research, T5 (Text-to-Text Transfer Transformer) is a highly adaptable model that proves valuable across a range of text-based tasks, including language translation.
To accomplish this project, the Hugging Face's transformers library is harnessed, offering pre-trained transformer models, tokenizers, and utilities essential for seamless natural language processing tasks. Within this particular implementation, the T5 model takes center stage, demonstrating its prowess in the art of translation.
DEPENDEND LIBRARIES USED:
Install transformers using pip:
transformers: Developed by Hugging Face, this library offers pre-trained models designed for Natural Language Processing tasks, such as translation. It also comes equipped with tokenizers and utilities to facilitate seamless interaction with these models.
GitHub REPOSITORY LINK:
TypeScript 16890 Version:v0.0.55 License: Strong Copyleft (AGPL-3.0)
TypeScript 15889 Version:v0.0.44 License: Strong Copyleft (AGPL-3.0)