Where to put array in model.predict() function

I have imported a pre trained keras model in my jvascript. I want to put array into the model to get he output. To convert the array to sensor I am taking the help from model.predict(tf.ones([8, 10]), {batchSize: 4}).print(); written in tfjs tutorial.

But where and how should I keep my array inside this model.predict() function.

I have to insert array([[0., 0., 0., …, 0., 0., 0.]]) with (1,30000) shape. I tried following line but couldn’t get the result: console.log(model.predict(tf.ones([1, 30000]), Array(b))); Please tell me how to do it so I can get the output.

[kallols]

@xam-ps Thank you so much, The code is working.

[xam-ps]

@kallols To get the data from the tensor I’m using the data() function. For your case this should be sth. like:

newoutput.data().then(function(label){ console.log(label[0]); console.log(label[1]); });