Here's a solution:  use a parameter (here, `return_html = True`) to get an HTML object back, and then call `displayHTML` to actually display the object.

from sparknlp_display import NerVisualizer

visualiser = NerVisualizer()

for i in text_list:

    light_result = light_model.fullAnnotate(i)
    html = visualiser.display(light_result[0], label_col='ner_chunk', document_col='document', return_html=True)
    displayHTML(html)