is there a method to load predictor from model file ktrain?

Question

i saved my model like this :

ktrain.get_predictor(learner.model,preproc=trans).save('model')

i want to load my model and use it and to do something like :

predictor = ktrain.load(folder)
x = "hello wold"
prediction = predictor(x) 

now, i have a folder "model" which contains 5 files : vocab.txt , tokenizer_config.json, tf_model.preproc , special_tokens_map.json and config.json thank you please help me to load and use my predictor

Answer 1

predictor = ktrain.load_predictor('<Path>')
model = ktrain.get_predictor(predictor.model, predictor.preproc)
predictions = model.predict('<anything you want to predict')

There's also a method model.predict_filename() to predict from images.

Answer 2

You need to explicitly use predictor.model.predict function to make a prediction. Therefore, the processes:

predictor = ktrain.get_predictor(learner.model,preproc=trans).save('model')
predictor.save('model')

predictor = ktrain.load_predictor('model')
x = "Hello World"
prediction = predictor.model.predict(x)
print(prediction)