[Question]Token_Classification_NER output with model_from_scratch.evaluate_from_file
The intended usage of the `evaluate_from_file()` is to run the final evaluation. The predictions for all examples are stored in a single line.

It's recommended to use `get_predictions()`.  Note, each word in the input sequence could be split into one or more tokens. In our implementation, the prediction for the first token of the input was used to label the whole word. 

[PR 1487](https://github.com/NVIDIA/NeMo/pull/1487/files) modified `get_predictions()` to read the input from a file and save the inference result, usage:
`model.add_predictions('Imported_data.txt', output_file='Exporting_data.txt')`

Please pull from the latest main to see the changes.


How do I let `evaluate_from_file` read into my entire text file and produce the output?

`model_from_scratch.evaluate_from_file(
    text_file= 'Imported_data.txt',
    output_dir='.',
)`

Apparently, it's only reading the first line of my text file as shown below.

![importText](https://user-images.githubusercontent.com/45226851/99944804-7840bc80-2dae-11eb-8379-35193ea74676.PNG)
![exportText](https://user-images.githubusercontent.com/45226851/99944797-770f8f80-2dae-11eb-9419-46cb254d67a2.PNG)