page_type: reference description: Creates EfficientNet-Lite2 model spec. See also: <a href="../../tflite_model_maker/image_classifier/ModelSpec"><code>tflite_model_maker.image_classifier.ModelSpec</code></a>.

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tflite_model_maker.image_classifier.EfficientNetLite2Spec

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Creates EfficientNet-Lite2 model spec. See also: <a href="../../tflite_model_maker/image_classifier/ModelSpec"><code>tflite_model_maker.image_classifier.ModelSpec</code></a>.

<pre class="devsite-click-to-copy prettyprint lang-py tfo-signature-link"> <code>tflite_model_maker.image_classifier.EfficientNetLite2Spec( *, uri=&#x27;https://tfhub.dev/tensorflow/efficientnet/lite2/feature-vector/2&#x27;, compat_tf_versions=[1, 2], input_image_shape=[260, 260], name=&#x27;efficientnet_lite2&#x27; ) </code></pre> <!-- Placeholder for "Used in" --> <!-- Tabular view --> <table class="responsive fixed orange"> <colgroup><col width="214px"><col></colgroup> <tr><th colspan="2"><h2 class="add-link">Args</h2></th></tr> <tr> <td> `uri`<a id="uri"></a> </td> <td> str, URI to the pretrained model. </td> </tr><tr> <td> `compat_tf_versions`<a id="compat_tf_versions"></a> </td> <td> list of int, compatible TF versions. </td> </tr><tr> <td> `input_image_shape`<a id="input_image_shape"></a> </td> <td> list of int, input image shape. Default: [224, 224]. </td> </tr><tr> <td> `name`<a id="name"></a> </td> <td> str, model spec name. </td> </tr> </table>