model tensorflow has no attribute placeholder

In TensorFlow 2.0 and above, the `tf.placeholder` method has been removed. Instead, you can use `tf.keras.Input` to define input placeholders in TensorFlow.

Here's an example of how you can create an input placeholder using `tf.keras.Input`:

import tensorflow as tf

# Define input shape
input_shape = (None, 10)  # Set the shape of your input

# Create input placeholder
input_placeholder = tf.keras.Input(shape=input_shape)

# Build your model using the input placeholder
# ...

In this example, `input_shape` represents the shape of your input data. The first dimension is set to `None` to indicate that it can be of variable length.

You can then use the `input_placeholder` as an input to build your model. Replace the comment `# Build your model using the input placeholder` with your model architecture.

Remember to import `tensorflow` using `import tensorflow as tf` at the beginning of your code to access the TensorFlow library.