Hugging Face Inference API with Python | Free Serverless Solution

In this tutorial, we'll explore how to leverage the Hugging Face Inference API to perform model inference using Python. Whether you're interested in natural language processing, summarization, or other AI tasks, this guide will walk you through the steps.

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📝 Timestamps:
- 00:00 - Introduction
- 00:18 - Explore the Free Hugging Face Inference API (Serverless) Documentation
- 01:23 - Choosing a Hugging Face Model
- 01:52 - Overview of the Summarization Model
- 02:23 - Sign Up with Hugging Face
- 02:45 - Log In and Select a Hugging Face Model
- 03:30 - Obtaining Code Samples for Your Chosen Model
- 04:19 - Creating an API Token/Access for Model Interaction
- 05:10 - Setting Up a New Project Folder in Visual Studio Code
- 05:40 - Creating a Python File for Your Code Sample
- 06:05 - Pasting the Sample Code
- 06:35 - Creating a Virtual Environment in Python
- 07:05 - Setting Up the Environment via Terminal (Mac)
- 08:40 - Activating Your Virtual Environment (Mac)
- 09:20 - Installing Necessary Modules Using Pip and Running Your Code
- 10:00 - Modifying Your Code to Extract Model Output from the Inference API Response
- 10:55 - Bonus: Free AI Code Pilot and Python Code Formatter
- 12:20 - Running the Code Again
- 12:46 - Outro

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