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README.html +26 -0
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+<!doctype html public "-//W3C//DTD HTML 4.0 Transitional //EN">
+<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>Prepare Python environment to download Hugging Face models</h1>
+<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 />
+<h2>1. Install <code>transformers</code> Package</h2>
+<p>The <code>transformers</code> package is used to load and use Hugging Face models in Python.</p>
+<h3>Installation</h3>
+<p>Run the following command in your terminal or command prompt:</p>
+<p><code>bash
+pip install transformers
+</code></p>
+<h3>Verify Installation</h3>
+<p>To confirm the installation was successful, run:</p>
+<p><code>bash
+python -c "from transformers import pipeline; print('Installation successful!')"
+</code></p>
+<hr />
+<h2>2. Install <code>huggingface_hub</code> Package</h2>
+<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>
+<h3>Installation</h3>
+<p>Run the following command:</p>
+<p><code>bash
+pip install huggingface_hub
+</code></p>
+<h3>Verify Installation</h3>
+<p>After installation, check if the <code>huggingface-cli</code> is available:</p>
+<p><code>bash
+huggingface-cli --help
+</code></p>
+<hr />
+<h2>3. Using <code>huggingface-cli</code></h2>
+<p>The <code>huggingface-cli</code> tool allows you to interact with the Hugging Face Hub directly from the command line.</p>
+<h3>Common Commands</h3>
+<h3>Log in to Hugging Face</h3>
+<p>To log in to your Hugging Face account:</p>
+<p><code>bash
+huggingface-cli login
+</code></p>
+<h3>Download a Model</h3>
+<p>To download a model (e.g., <code>gpt2</code>):</p>
+<p><code>bash
+huggingface-cli download gpt2
+</code></p>
+<h3>List Available Commands</h3>
+<p>To see all available commands and options:</p>
+<p><code>bash
+huggingface-cli --help
+</code></p>
+<hr />
+<h2>4. Example: Download and Use a Model</h2>
+<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 />
+<h2>5. Summary of Commands</h2>
+<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>
+</body>
+</html>

README.html ADDED Viewed

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+<!doctype html public "-//W3C//DTD HTML 4.0 Transitional //EN">
+<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>
+<hr />
+<p>title: GNU LLM Integration
+emoji: 🌖
+colorFrom: purple
+colorTo: pink
+sdk: static
+pinned: false
+license: gpl-3.0</p>
+<h2>short_description: Empowering GNU/Linux users with NLP</h2>
+<p>Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference</p>
+</body>
+</html>

index.html CHANGED Viewed

@@ -44,145 +44,6 @@ what makes <em>you</em> tick. Let&rsquo;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>

 <h3>Install required software</h3>
 <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>