Nameerror name 'model' is not defined

Nameerror name ‘model’ is not defined

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How to fix the Python nameerror name ‘model’ is not defined  error message?

If you’re struggling with this error message, keep on reading! In this article, we’ll delve into how to fix this error.

Aside from that, this article discusses what this error means, the root causes and the solutions for the nameerror name model is not defined.

What is a nameerror?

A nameerror is a common Python error that occurs when you try to reference a variable or function that hasn’t been defined yet.

What is “nameerror name model is not defined”?

The nameerror: name ‘model’ is not defined error message occurs when you’re working with Python and trying to use a variable or function called “model” that hasn’t been defined yet or imported.

What are the root causes of this error?

The nameerror name model is not defined can occur due to several reasons, such as:

❌ Misspell a variable name or module name.

❌ Fail to import a module correctly or forget to import it altogether.

❌ When you attempt to use a variable that has not been defined within the correct scope.


❌ When you improperly indent your code, Python may interpret it differently than you intended, resulting in this error or other errors.

How to fix “nameerror name model is not defined”?

Here are the following solutions that will help you fix the error.

Solution 1: Define the variable

Ensure that you have defined the variable.

For example:

✅ from tensorflow import keras
inputs = keras.Input(shape=(5,))

class Phone(object):
    condition = "new"
    def __init__(self, model, color, gb):
        self.model = model
        self.color = color
        self.gb   = gb
    def display_phone(self):
        print("This is a %s %s with %s gb." %(self.color, self.model, self.gb))
my_phone = Phone("IphoneX", "Gold", 64)
my_phone.display_phone()

Output:

This is a Gold IphoneX with 64 gb.

Solution 2: Import the model

If you are using a pre-defined model from a machine learning library like Keras or TensorFlow, make sure that you have imported it correctly.

For example:

✅ from tensorflow.keras.models import Model

Solution 3: Check for dependencies

Ensure that you have installed all the necessary dependencies and libraries for defining or importing the model.

For instance, if you are using Keras or TensorFlow, make sure that these libraries are installed and imported correctly.

Solution 4: Check for typos

Ensure that you have spelled the name of the model correctly and that it matches the name used when defining or importing the model.

Solution 5: Verify the scope

Ensure that the model is defined or imported in the correct scope. If you define or import the model inside a function, it will only be available within that function.

Conclusion

The nameerror: name ‘model’ is not defined error message occurs when you’re working with Python and trying to use a variable or function called “model” that hasn’t been defined yet or imported.

This article already provides solutions for this error to help you fix the Python name model is not defined error message.

You could also check out other “nameerror” articles that may help you in the future if you encounter them.

Hoping that this article helps you fix the error. Thank you for reading itsourcecoders 😊