How do I set up a Transformer-based text generator in TensorFlow

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With the help of code can you explain how do I set up a Transformer-based text generator in TensorFlow?
2 days ago in Generative AI by Ashutosh
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1 answer to this question.

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To set up a Transformer-based text generator in TensorFlow, you can use the tf.keras API to build the model, train it, and generate text. Here is the code you can refer to:

In the above code, we are using:

  • Prepare your dataset: Tokenize and preprocess text data.
  • Define the Transformer architecture Using layers like MultiHeadAttention, Dense, and Embedding.
  • Compile and train the model: Fit it on your prepared dataset.
  • Generate text: Use a decoding loop to predict word-by-word.

Hence, this approach provides a basic starting point; for complex tasks, you can expand with pre-trained embeddings or additional layers.

answered 1 day ago by safak malotra

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