How do you use TensorFlow s tf keras preprocessing for tokenizing text in generative AI

Question

With the help of code, can you explain to me how do you use TensorFlow’s tf.keras.preprocessing for tokenizing text in generative AI?

Answer 1

You can use TensorFlow's tf.keras.preprocessing.text.Tokenizer to tokenize text for generative AI by fitting the tokenizer on a corpus and converting the text into sequences. 

Here is the code snippet you can refer to:

In the above code, we are using the following key approaches:

• Tokenizer Initialization: Configure vocab size and OOV token.
• Fit on Text: Learn word-to-index mappings from the corpus.
• Text-to-Sequences: Convert text to numerical tokens for model input.

Hence, by referring to the above, you can use TensorFlow s tf keras preprocessing for tokenizing text in generative AI.