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<h1>GPT-NeoX Tokenizer</h1>
<p>This initializes a Hugging Face tokenizer from the downloaded vocabulary.</p>
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<div class="highlight"><pre><span class="lineno">13</span><span></span><span class="kn">from</span> <span class="nn">tokenizers</span> <span class="kn">import</span> <span class="n">Tokenizer</span>
<span class="lineno">14</span>
<span class="lineno">15</span><span class="kn">from</span> <span class="nn">labml</span> <span class="kn">import</span> <span class="n">lab</span><span class="p">,</span> <span class="n">monit</span></pre></div>
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<h3>Load NeoX Tokenizer</h3>
<ul><p><em>Returns</em> the tokenizer</p></ul>
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<div class="highlight"><pre><span class="lineno">18</span><span class="nd">@monit</span><span class="o">.</span><span class="n">func</span><span class="p">(</span><span class="s1">&#39;Load NeoX Tokenizer&#39;</span><span class="p">)</span>
<span class="lineno">19</span><span class="k">def</span> <span class="nf">get_tokenizer</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tokenizer</span><span class="p">:</span></pre></div>
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<div class="highlight"><pre><span class="lineno">25</span> <span class="n">vocab_file</span> <span class="o">=</span> <span class="n">lab</span><span class="o">.</span><span class="n">get_data_path</span><span class="p">()</span> <span class="o">/</span> <span class="s1">&#39;neox&#39;</span> <span class="o">/</span> <span class="s1">&#39;slim_weights&#39;</span> <span class="o">/</span> <span class="s1">&#39;20B_tokenizer.json&#39;</span>
<span class="lineno">26</span> <span class="n">tokenizer</span> <span class="o">=</span> <span class="n">Tokenizer</span><span class="o">.</span><span class="n">from_file</span><span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="n">vocab_file</span><span class="p">))</span>
<span class="lineno">27</span>
<span class="lineno">28</span> <span class="k">return</span> <span class="n">tokenizer</span></pre></div>
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