Let’s try an exercise to deploy a Large Lange Model in an application. To do that, We will use a platform called Hugging Face. Hugging Face is a leading open-source platform that provides a hub for machine learning models. It houses thousands of pre-trained models for tasks like text generation, translation, summarization, sentiment analysis, etc. Hugging Face makes it easier for developers and researchers to deploy powerful language models without training them from scratch. To build the application, we will use Colab. Google Colab (Collaboratory) is a cloud-based platform provided by Google that allows you to write and execute Python code in a browser. It offers free access to powerful hardware like GPUs and TPUs. We will also use GitHub to store our source code for the application. Afterward, we can deploy the application on Streamlit.
Build a Translation Application
Follow this Google Colab Notebook to start with the code and further instructions.
This is how your application will look. Feel free to customize the look.
