The content provides a detailed guide on how to configure Google Colab to use a T4 GPU for machine learning tasks with HuggingFace and Microsoft’s Phi. It includes steps to set up the environment, install necessary libraries, load the Phi-3-mini-4k-instruct model, and create a text generation pipeline. The guide covers setting up the Colab notebook, changing the runtime type to use a T4 GPU, installing essential libraries like transformers, einops, and accelerate, importing required libraries, configuring the device, loading the Phi model and tokenizer, and creating a text generation pipeline. It also explains the purpose of each library and the significance of the tokenizer in processing text data for the model. Additionally, it provides a sample code snippet to demonstrate how to generate text using the model with a sample input message. The guide aims to help users leverage the computational power of a T4 GPU in Google Colab for efficient machine learning tasks with HuggingFace and Microsoft’s Phi.
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Source link: https://medium.com/@Matthew_Frank/getting-started-with-huggingface-using-microsofts-phi-1ec1552eb620?source=rss——hugging_face-5
Introduction to HuggingFace with Microsoft’s Phi: A Beginner’s Guide #NLP
