Inference

[Seraphyx]

Hi,

A silly question, but I'm following along with the tutorial building the model, but I'm having trouble trying to perform inference with new data.

For example, if trained on an IMDB dataset with 0/1 labels, I want to infer/fit a new sentence and make use of the model but I want to do it in a proper way. Right now I'm taking the raw text ("I loved this movie.") and feeding it to the tokenizer.encode_texts() method then using the tokenizer's embeddings_index to attach the embeddings, etc....

But I'm pretty sure I'm doing it wrong. I was wondering if there is an example on doing out of sample inference after training the model. Thank you!