Hi , I have pre-trained weight for lung cancer type classification. Model.h5 config.yaml and test_result.json files are prepared. But I dont know how to convert this model into tflite.
import tensorflow as tf model = tf.keras.models.load_model('/content/drive/MyDrive/model.h5') converter = tf.lite.TFLiteConverter.from_keras_model(model) tflite_model = converter.convert() open("tflitemodel.tflite", "wb").write(tflite_model)
when I try to use this code I get an error like ValueError: No model config found in the file . Im really confused right now. Can someone please help me how can I use these files to have an tflite file?