icefall/model-export/export-ncnn.html

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<li class="toctree-l1"><a class="reference internal" href="../installation/index.html">Installation</a></li>
<li class="toctree-l1 current"><a class="reference internal" href="index.html">Model export</a><ul class="current">
<li class="toctree-l2"><a class="reference internal" href="export-model-state-dict.html">Export model.state_dict()</a></li>
<li class="toctree-l2"><a class="reference internal" href="export-with-torch-jit-trace.html">Export model with torch.jit.trace()</a></li>
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<section id="export-to-ncnn">
<h1>Export to ncnn<a class="headerlink" href="#export-to-ncnn" title="Permalink to this heading"></a></h1>
<p>We support exporting LSTM transducer models to <a class="reference external" href="https://github.com/tencent/ncnn">ncnn</a>.</p>
<p>Please refer to <a class="reference internal" href="../recipes/Streaming-ASR/librispeech/lstm_pruned_stateless_transducer.html#export-model-for-ncnn"><span class="std std-ref">Export model for ncnn</span></a> for details.</p>
<p>We also provide <a class="reference external" href="https://github.com/k2-fsa/sherpa-ncnn">https://github.com/k2-fsa/sherpa-ncnn</a>
performing speech recognition using <code class="docutils literal notranslate"><span class="pre">ncnn</span></code> with exported models.
It has been tested on Linux, macOS, Windows, and Raspberry Pi. The project is
self-contained and can be statically linked to produce a binary containing
everything needed.</p>
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