Spaces:
Running
Running
File size: 3,714 Bytes
9992bad e375757 9992bad 386c510 9992bad 9d448a6 9992bad 9d448a6 9992bad 9d448a6 9992bad b761d6e 9992bad |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 |
<!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 <a href="https://huggingface.co">Hugging
Face</a> packages and tools to download and use
models from the Hugging Face Hub.</p>
<p>Follow this guide, or <a href="index.html">return to the main page</a> if needed.</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>
huggingface-cli login
</code></p>
<h3>Download a Model</h3>
<p>To download a model (e.g., <code>gpt2</code>):</p>
<p><code>
huggingface-cli download gpt2
</code></p>
<h3>List Available Commands</h3>
<p>To see all available commands and options:</p>
<p><code>
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>
</body>
</html>
|