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_sources/installation.rst.txt

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Using Pip
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=========
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For the simplest case, use ``pip install renard-pipeline``. By default, this installs the CPU version of PyTorch. If you want GPU support to accelerate inference:
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For the simplest case, use ``pip install renard-pipeline``. By default, this installs the cuda version of PyTorch. For other versions:
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- CUDA 12.8: ``pip install renard-pipeline[cuda128]``
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- ROCm 6.3: ``pip install renard-pipeline[rocm63]``
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CPU only:
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``pip install torch --index-url https://download.pytorch.org/whl/cpu && pip install renard-pipeline``
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ROCM 6.4:
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``pip install torch --index-url https://download.pytorch.org/whl/rocm6.4 && pip install renard-pipeline``
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Note that for some modules, you might need to install additional

installation.html

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<h1>Installation<a class="headerlink" href="#installation" title="Link to this heading"></a></h1>
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<section id="using-pip">
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<h2>Using Pip<a class="headerlink" href="#using-pip" title="Link to this heading"></a></h2>
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<p>For the simplest case, use <code class="docutils literal notranslate"><span class="pre">pip</span> <span class="pre">install</span> <span class="pre">renard-pipeline</span></code>. By default, this installs the CPU version of PyTorch. If you want GPU support to accelerate inference:</p>
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<ul class="simple">
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<li><p>CUDA 12.8: <code class="docutils literal notranslate"><span class="pre">pip</span> <span class="pre">install</span> <span class="pre">renard-pipeline[cuda128]</span></code></p></li>
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<li><p>ROCm 6.3: <code class="docutils literal notranslate"><span class="pre">pip</span> <span class="pre">install</span> <span class="pre">renard-pipeline[rocm63]</span></code></p></li>
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</ul>
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<p>For the simplest case, use <code class="docutils literal notranslate"><span class="pre">pip</span> <span class="pre">install</span> <span class="pre">renard-pipeline</span></code>. By default, this installs the cuda version of PyTorch. For other versions:</p>
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<p>CPU only:
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<code class="docutils literal notranslate"><span class="pre">pip</span> <span class="pre">install</span> <span class="pre">torch</span> <span class="pre">--index-url</span> <span class="pre">https://download.pytorch.org/whl/cpu</span> <span class="pre">&amp;&amp;</span> <span class="pre">pip</span> <span class="pre">install</span> <span class="pre">renard-pipeline</span></code></p>
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<p>ROCM 6.4:
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<code class="docutils literal notranslate"><span class="pre">pip</span> <span class="pre">install</span> <span class="pre">torch</span> <span class="pre">--index-url</span> <span class="pre">https://download.pytorch.org/whl/rocm6.4</span> <span class="pre">&amp;&amp;</span> <span class="pre">pip</span> <span class="pre">install</span> <span class="pre">renard-pipeline</span></code></p>
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<p>Note that for some modules, you might need to install additional
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libraries:</p>
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<ul class="simple">

searchindex.js

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