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- An example chatbot using [Gradio](https://gradio.app), [`huggingface_hub`](https://huggingface.co/docs/huggingface_hub/v0.22.2/en/index), and the [Hugging Face Inference API](https://huggingface.co/docs/api-inference/index).
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # Qwen Qwen2.5 Coder 32B Instruct 💻
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+ An advanced AI language model designed for coding tasks, built with Gradio and deployed using Hugging Face's Inference API.
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+ ![Thumbnail](https://cdn-uploads.huggingface.co/production/uploads/64fbe312dcc5ce730e763dc6/YPkNqtRCflnm7ScVhkRG9.png)
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+ ## Table of Contents
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+ - [Overview](#overview)
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+ - [Installation](#installation)
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+ - [Usage](#usage)
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+ - [Dependencies](#dependencies)
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+ - [Contributing](#contributing)
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+ - [License](#license)
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+
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+ ## Overview
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+ Qwen Qwen2.5 Coder 32B Instruct is an AI model designed to assist with coding tasks, from generating code snippets to debugging. It integrates with Gradio for a user-friendly interface and utilizes Hugging Face's Inference API for seamless deployment and model inference.
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+ This chatbot can help you:
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+ - Generate Python code based on natural language descriptions
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+ - Assist with code debugging and optimization
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+ - Answer programming-related questions
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+ - Provide recommendations for coding best practices
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+
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+ ## Installation
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+ To get started with the Qwen Qwen2.5 Coder model, clone the repository and install the required dependencies.
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+ ```bash
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+ git clone https://github.com/your-username/qwen-qwen2.5-coder.git
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+ cd qwen-qwen2.5-coder
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+ pip install -r requirements.txt