SeamlessM4T: Revolutionizing Translation in a Multilingual and Multimodal World
In this article we introduce the fundamentals of Meta's newly launched Seamless M4T, and demonstrate how to use the model in a Paperspace Notebook.
In this article we introduce the fundamentals of Meta's newly launched Seamless M4T, and demonstrate how to use the model in a Paperspace Notebook.
In this tutorial, we understand Data2Vec model from Meta AI and show how to train your own model with a ready-to-use codebase on the Gradient Notebook.