Free Qwen 3.5 Model + Hugging Face API | Build & Deploy AI Apps in 14 minutes #qwen3 #freeapi

🚀 In this video, you’ll learn how to use the Qwen 3.5 model with Hugging Face API and build a real AI application using Python — completely FREE.

If you are learning Generative AI, LLM APIs, or AI application development, Hugging Face provides access to powerful open-source models like Qwen 3.5 that can be used through a free API token.

In this step-by-step tutorial, I will show you how to:

✔ Generate a Hugging Face API token (free API key)
✔ Access Qwen 3.5 models via Hugging Face API
✔ Connect the model with Python
✔ Build a Streamlit AI application
✔ Monitor token usage and responses

By the end of this video, you will have a working AI application powered by the Qwen 3.5 LLM model using Hugging Face API.

This tutorial is perfect for AI engineers, data scientists, Python developers, and anyone learning Generative AI.

⏱ Chapters

00:00 Intro — Free API Key Series (Part 3)
00:40 Create Hugging Face API Token
01:40 Explore Qwen 3.5 Model on Hugging Face
02:30 Setup Project Folder in VS Code
03:20 Create Python Virtual Environment
04:40 Install Dependencies (requirements.txt)
06:00 Setup .env File (API Token + Model)
07:10 Create Jupyter Notebook Test
09:10 Load Environment Variables
10:00 Connect to Hugging Face API
11:30 Generate Text Using Qwen 3.5
12:10 Monitor Token Usage
12:40 Build AI Application
13:20 Run Streamlit App
13:45 Final Demo

🧠 What You Will Learn

• How to use Qwen 3.5 model for free
• How to create a Hugging Face API token
• Integrate Hugging Face API with Python
• Build AI apps using LLM models
• Create a Streamlit AI application
• Monitor LLM token usage

🛠 Tools & Technologies
Hugging Face API
Qwen 3.5 Model
Python
Streamlit
VS Code
Jupyter Notebook
Environment Variables

👨‍💻 Recommended For
• AI Engineers
• Data Scientists
• Machine Learning Engineers
• Python Developers
• Generative AI learners
• Developers building AI applications

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