A Comprehensive Guide for Getting Started with Huggingface

Author(s): Eugenia Anello

Originally published on Towards AI.

Learn the basic concepts of Hugging Face while practicing with the website
Photo by Courtney Cook on Unsplash

With the explotion of Large Language Models that are being applied to solve a huge variery of tasks, the knowledge of Hugging Face has become a MUST.

Why Hugging Face? Hugging Face plays a relevant role in providing access to a wide range of open-source models. Thanks to this platform, data scientists, developers and researchers can explore and use state-of-art models easily.

In this article, I am going to explain about the Hugging Face’s potentialities, how to exploit them and the possible use cases. Let’s get started!

Table of contents:

What is Hugging Face?Basic components of Hugging FaceWhat is the Open LLM Leaderboard?How to Access Hugging Face?Start to play with Hugging FaceUtilize Transformers libraryScreenshot by Author. Home page of Hugging Face.

Hugging Face is a hub that aims to provide democratical access to several pre-training models for a variety of tasks, such as translation, summarization, question answering, object detection, image segmentation and more. It encorauges the users to contribute to open-source models.

The beauty of this centralized repository is Hugging Face Transformers, a very popular Python library that enables to download, load and fine-tune models easily.

In addition to models, it also hosts datasets and machine learning demos, called Hugging Face Spaces.

In Hugging… Read the full blog for free on Medium.

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Published via Towards AI