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<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>
<h1>Proceed to next step</h1>
<p><a href="index.html">Proceed to next step.</a></p>
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