End-to-End Preview

Here's what the final result looks like:

from model import CalculatorLLM

model = CalculatorLLM.load("calculator-llm.pt")

model.calculate("two plus three")      # → "five"
model.calculate("nine times nine")     # → "eighty one"
model.calculate("fifty minus twelve")  # → "thirty eight"

The .calculate() method is a convenience wrapper. Under the hood, it's still doing autoregressive generation—appending "two plus three" + predicted token, checking for [END], and returning just the answer portion.

Try It Live

At the end of this series, we'll deploy our model to Hugging Face Spaces—a free platform to host ML demos. You'll be able to share your working calculator LLM with anyone via a simple URL.