After we configure and train our TensorflowJs model, we can run the `predict()`

function to get the results of that model:

```
//1. create and configure the TensorflowJs model
//2. train the model
//3. use the model
model.predict(inputs)
```

If we want to store the results of `model.predict()`

in a separate variable so that we can later refer to it we can do that using the arraySync() function:

```
const result = model.predict(tf.tensor1d([input_val_here]));
const predictedVal = resultTensor.arraySync()[0];
```

Keep in mind that, for example, if we use a 2d tensor we will need to update the index as needed:

```
const result = model.predict(tf.tensor2d([input_val_here], [1, 1]));
const predictedVal = resultTensor.arraySync()[0][0];
```

Also, you can use the print() function to directly log the result:

`model.predict(tf.tensor1d([input_val_here])).print()`

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