d">    object:</span>

<span class="sd">    &gt;&gt;&gt; embeddings = Word2VecModel.pretrained() \\</span>
<span class="sd">    ...     .setInputCols([&quot;token&quot;]) \\</span>
<span class="sd">    ...     .setOutputCol(&quot;embeddings&quot;)</span>

<span class="sd">    The default model is `&quot;word2vec_gigaword_300&quot;`, if no name is provided.</span>

<span class="sd">    ====================== =======================</span>
<span class="sd">    Input Annotation types Output Annotation type</sp