tensorflow/lite/g3doc/api_docs/python/tflite_model_maker/image_classifier/EfficientNetLite3Spec.md
page_type: reference description: Creates EfficientNet-Lite3 model spec. See also: <a href="../../tflite_model_maker/image_classifier/ModelSpec"><code>tflite_model_maker.image_classifier.ModelSpec</code></a>.
<link rel="stylesheet" href="/site-assets/css/style.css"> <!-- DO NOT EDIT! Automatically generated file. --> <div itemscope itemtype="http://developers.google.com/ReferenceObject"> <meta itemprop="name" content="tflite_model_maker.image_classifier.EfficientNetLite3Spec" /> <meta itemprop="path" content="Stable" /> </div>Creates EfficientNet-Lite3 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.EfficientNetLite3Spec( *, uri='https://tfhub.dev/tensorflow/efficientnet/lite3/feature-vector/2', compat_tf_versions=[1, 2], input_image_shape=[280, 280], name='efficientnet_lite3' ) </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>