Spaces:
Running
Running
| <html> | |
| <head> | |
| <meta name="GENERATOR" content="mkd2html 2.2.7 GITHUB_CHECKBOX"> | |
| <meta http-equiv="Content-Type" content="text/html; charset=utf-8"> | |
| <link rel="stylesheet" | |
| type="text/css" | |
| href="header.css" /> | |
| <title></title> | |
| </head> | |
| <body> | |
| <h1>Seamless Integration of GNU operating system with Large Language Models: Enhancing Performance and Usability</h1> | |
| <blockquote><p>Author: Jean Louis <bugs at gnu.support>, XMPP: <a href="xmpp:[email protected]">[email protected]</a><br/> | |
| Last updated: Sun 23 Mar 2025 10:44:24 AM EAT</p></blockquote> | |
| <p>This Hugging Face Space focuses on integrating GNU-like operating | |
| systems with Large Language Models (LLMs). This development marks an | |
| important step forward for free software, as outlined in the <a href="https://www.gnu.org/philosophy/free-sw.html">GNU | |
| philosophy</a>, by enabling | |
| users to interact more efficiently and effectively.</p> | |
| <p>The primary goal of this brief project is to enhance how you interact | |
| with computers initially and subsequently improve interactions between | |
| people as a secondary objective.</p> | |
| <p>Utilize these empowerment tools to deepen mutual comprehension with | |
| others, strengthen both personal and professional connections, boost | |
| promotional efforts for better market reach, increase sales | |
| opportunities overall—ultimately aiding in the enhancement of various | |
| aspects of your life.</p> | |
| <h2>First Stage Goal: Enable Speech Interaction With Computer</h2> | |
| <p>🚀 In the first stage of our adventure together, we aim to enable | |
| speech interaction between you and your machine. Imagine effortlessly | |
| asking questions or giving commands just by speaking!</p> | |
| <p>We’ll explore tools like voice recognition software that will listen | |
| intently as if it’s hanging on every word (because let’s be honest, | |
| who doesn’t love a good listener?). By the end of this stage, you’ll | |
| feel empowered to chat away and make your computer truly understand | |
| what makes <em>you</em> tick. Let’s dive in together! 🎤💻✨</p> | |
| <h3>Install required software</h3> | |
| <h4>Prepare Python environment to download Hugging Face models</h4> | |
| <p>This guide will help you install the necessary Hugging Face packages | |
| and tools to download and use models from the Hugging Face Hub.</p> | |
| <hr /> | |
| <h5>1. Install <code>transformers</code> Package</h5> | |
| <p>The <code>transformers</code> package is used to load and use Hugging Face models in Python.</p> | |
| <h6>Installation</h6> | |
| <p>Run the following command in your terminal or command prompt:</p> | |
| <p><code>bash | |
| pip install transformers | |
| </code></p> | |
| <h6>Verify Installation</h6> | |
| <p>To confirm the installation was successful, run:</p> | |
| <p><code>bash | |
| python -c "from transformers import pipeline; print('Installation successful!')" | |
| </code></p> | |
| <hr /> | |
| <h5>2. Install <code>huggingface_hub</code> Package</h5> | |
| <p>The <code>huggingface_hub</code> package provides the <code>huggingface-cli</code> tool for interacting with the Hugging Face Hub (e.g., downloading models, uploading files, etc.).</p> | |
| <h6>Installation</h6> | |
| <p>Run the following command:</p> | |
| <p><code>bash | |
| pip install huggingface_hub | |
| </code></p> | |
| <h6>Verify Installation</h6> | |
| <p>After installation, check if the <code>huggingface-cli</code> is available:</p> | |
| <p><code>bash | |
| huggingface-cli --help | |
| </code></p> | |
| <hr /> | |
| <h5>3. Using <code>huggingface-cli</code></h5> | |
| <p>The <code>huggingface-cli</code> tool allows you to interact with the Hugging Face Hub directly from the command line.</p> | |
| <h6>Common Commands</h6> | |
| <h6>Log in to Hugging Face</h6> | |
| <p>To log in to your Hugging Face account:</p> | |
| <p><code>bash | |
| huggingface-cli login | |
| </code></p> | |
| <h6>Download a Model</h6> | |
| <p>To download a model (e.g., <code>gpt2</code>):</p> | |
| <p><code>bash | |
| huggingface-cli download gpt2 | |
| </code></p> | |
| <h6>List Available Commands</h6> | |
| <p>To see all available commands and options:</p> | |
| <p><code>bash | |
| huggingface-cli --help | |
| </code></p> | |
| <hr /> | |
| <h5>4. Example: Download and Use a Model</h5> | |
| <p>Here’s an example of downloading and using a model in Python:</p> | |
| <pre> | |
| from transformers import pipeline | |
| # Download and load a model | |
| generator = pipeline("text-generation", model="gpt2") | |
| # Generate text | |
| output = generator("Hello, how are you?", max_length=50) | |
| print(output) | |
| </pre> | |
| <hr /> | |
| <h5>5. Summary of Commands</h5> | |
| <table> | |
| <thead> | |
| <tr> | |
| <th> Command </th> | |
| <th> Description </th> | |
| </tr> | |
| </thead> | |
| <tbody> | |
| <tr> | |
| <td> <code>pip install transformers</code> </td> | |
| <td> Install the <code>transformers</code> package. </td> | |
| </tr> | |
| <tr> | |
| <td> <code>pip install huggingface_hub</code> </td> | |
| <td> Install the <code>huggingface_hub</code> package. </td> | |
| </tr> | |
| <tr> | |
| <td> <code>huggingface-cli --help</code> </td> | |
| <td> List all available <code>huggingface-cli</code> commands. </td> | |
| </tr> | |
| <tr> | |
| <td> <code>huggingface-cli login</code> </td> | |
| <td> Log in to your Hugging Face account. </td> | |
| </tr> | |
| <tr> | |
| <td> <code>huggingface-cli download gpt2</code> </td> | |
| <td> Download the <code>gpt2</code> model. </td> | |
| </tr> | |
| </tbody> | |
| </table> | |
| <hr /> | |
| <p>Now you’re ready to use Hugging Face models and tools in Python! 🚀</p> | |
| <h4>Install NVIDIA Canary-1B-Flash fully free software Large Language Model (LLM) for speech recognition</h4> | |
| <h4>Run NVIDIA Canary-1B-Flash as server</h4> | |
| <h4>Prepare Shell scripts</h4> | |
| <h4>Configure mouse for seemless speech recognition</h4> | |
| </body> | |
| </html> | |