Updated index.html

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@@ -46,6 +46,137 @@ what makes <em>you</em> tick. Let&rsquo;s dive in together! 🎤💻✨</p>
 
 <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:
+<code>bash
+pip install transformers
+</code></p>
+
+<h6>Verify Installation</h6>
+
+<p>To confirm the installation was successful, run:
+<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:
+<code>bash
+pip install huggingface_hub
+</code></p>
+
+<h6>Verify Installation</h6>
+
+<p>After installation, check if the <code>huggingface-cli</code> is available:
+<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:
+<code>bash
+huggingface-cli login
+</code></p>
+
+<h6>Download a Model</h6>
+
+<p>To download a model (e.g., <code>gpt2</code>):
+<code>bash
+huggingface-cli download gpt2
+</code></p>
+
+<h6>List Available Commands</h6>
+
+<p>To see all available commands and options:
+<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>
+
+<p>```python
+from transformers import pipeline</p>
+
+<h1>Download and load a model</h1>
+
+<p>generator = pipeline(&ldquo;text-generation&rdquo;, model=&ldquo;gpt2&rdquo;)</p>
+
+<h1>Generate text</h1>
+
+<p>output = generator(&ldquo;Hello, how are you?&rdquo;, max_length=50)
+print(output)
+```</p>
+
+<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>