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<div class="section" id="torch-utils-model-zoo">
<h1>torch.utils.model_zoo<a class="headerlink" href="#torch-utils-model-zoo" title="Permalink to this heading">¶</a></h1>
<p>Moved to <cite>torch.hub</cite>.</p>
<span class="target" id="module-torch.utils.model_zoo"></span><dl class="py function">
<dt class="sig sig-object py" id="torch.utils.model_zoo.load_url">
<span class="sig-prename descclassname"><span class="pre">torch.utils.model_zoo.</span></span><span class="sig-name descname"><span class="pre">load_url</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">url</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">map_location</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">progress</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">check_hash</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">file_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights_only</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#torch.utils.model_zoo.load_url" title="Permalink to this definition">¶</a></dt>
<dd><p>Loads the Torch serialized object at the given URL.</p>
<p>If downloaded file is a zip file, it will be automatically
decompressed.</p>
<p>If the object is already present in <cite>model_dir</cite>, it’s deserialized and
returned.
The default value of <code class="docutils literal notranslate"><span class="pre">model_dir</span></code> is <code class="docutils literal notranslate"><span class="pre"><hub_dir>/checkpoints</span></code> where
<code class="docutils literal notranslate"><span class="pre">hub_dir</span></code> is the directory returned by <a class="reference internal" href="hub.html#torch.hub.get_dir" title="torch.hub.get_dir"><code class="xref py py-func docutils literal notranslate"><span class="pre">get_dir()</span></code></a>.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>url</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a>) – URL of the object to download</p></li>
<li><p><strong>model_dir</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>optional</em>) – directory in which to save the object</p></li>
<li><p><strong>map_location</strong> (<em>optional</em>) – a function or a dict specifying how to remap storage locations (see torch.load)</p></li>
<li><p><strong>progress</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a><em>, </em><em>optional</em>) – whether or not to display a progress bar to stderr.
Default: True</p></li>
<li><p><strong>check_hash</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a><em>, </em><em>optional</em>) – If True, the filename part of the URL should follow the naming convention
<code class="docutils literal notranslate"><span class="pre">filename-<sha256>.ext</span></code> where <code class="docutils literal notranslate"><span class="pre"><sha256></span></code> is the first eight or more
digits of the SHA256 hash of the contents of the file. The hash is used to
ensure unique names and to verify the contents of the file.
Default: False</p></li>
<li><p><strong>file_name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>optional</em>) – name for the downloaded file. Filename from <code class="docutils literal notranslate"><span class="pre">url</span></code> will be used if not set.</p></li>
<li><p><strong>weights_only</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a><em>, </em><em>optional</em>) – If True, only weights will be loaded and no complex pickled objects.
Recommended for untrusted sources. See <a class="reference internal" href="generated/torch.load.html#torch.load" title="torch.load"><code class="xref py py-func docutils literal notranslate"><span class="pre">load()</span></code></a> for more details.</p></li>
</ul>
</dd>
<dt class="field-even">Return type</dt>
<dd class="field-even"><p><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Dict" title="(in Python v3.12)"><em>Dict</em></a>[<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)">str</a>, <a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Any" title="(in Python v3.12)"><em>Any</em></a>]</p>
</dd>
</dl>
<p class="rubric">Example</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">state_dict</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">hub</span><span class="o">.</span><span class="n">load_state_dict_from_url</span><span class="p">(</span><span class="s1">'https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth'</span><span class="p">)</span>
</pre></div>
</div>
</dd></dl>
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