I now used  model.export(export_dir='.', export_format=ExportFormat.SAVED_MODEL) as suggested but when running
reloaded_model = tf.saved_model.load('/content/saved_model') 
reloaded_model.summary()

I’m getting the following error:
AttributeError                            Traceback (most recent call last)
<ipython-input-13-38f2d2297174> in <module>()
      1 reloaded_model = tf.saved_model.load('/content/saved_model')
----> 2 reloaded_model.summary()

AttributeError: '_UserObject' object has no attribute 'summary'

Also, while trying to convert the model to OpenVino:
output_dir = '/content/output'

!source /opt/intel/openvino_2021/bin/setupvars.sh && \
    python /opt/intel/openvino_2021/deployment_tools/model_optimizer/mo.py \
    --input_model /content/saved_model/saved_model.pb \
    --transformations_config /opt/intel/openvino_2021/deployment_tools/model_optimizer/extensions/front/tf/automl_efficientdet.json \
    --reverse_input_channels \
    --output_dir {output_dir} \

I’m still getting the following error message:
Please install required versions of components or use install_prerequisites script
/opt/intel/openvino_2021.3.394/deployment_tools/model_optimizer/install_prerequisites/install_prerequisites_tf2.sh
Note that install_prerequisites scripts may install additional components.
[ FRAMEWORK ERROR ]  Cannot load input model: TensorFlow cannot read the model file: "/content/saved_model/saved_model.pb" is incorrect TensorFlow model file. 
The file should contain one of the following TensorFlow graphs:
1. frozen graph in text or binary format
2. inference graph for freezing with checkpoint (--input_checkpoint) in text or binary format
3. meta graph

Make sure that --input_model_is_text is provided for a model in text format. By default, a model is interpreted in binary format. Framework error details: Error parsing message. 
 For more information please refer to Model Optimizer FAQ, question #43. (https://docs.openvinotoolkit.org/latest/openvino_docs_MO_DG_prepare_model_Model_Optimizer_FAQ.html?question=43#question-43)