How to evaluate the saved hdf5 model on test dataset without splitting into train and test

this is the model link

test dataset link


Welcome to the Tensorflow Forum!

You can load the model

new_model = tf.keras.models.load_model('model.hdf5')

and evaluate the model using

loss, accuracy = model.evaluate(test_data)

For more details please refer to save_and_load#hdf5_format. Thank you!

Its not working for me


Could you please create a new issue with standalone code that reproduces the issue? so that we can analyse and assist you quickly.

Thank you!