 How to use To generate predictions with the model, use the [Simple Transformers](https://simpletransformers.ai/) library: ``` from simpletransformers.ner import NERModel  model = NERModel(     'bert',     'jeniakim/hedgehog',     use_cuda=False,     labels=["C", "D", "E", "I", "N"], )  example = "As much as I definitely enjoy solitude, I wouldn't mind perhaps spending little time with you (Björk)" predictions, raw_outputs = model.predict([example]) ``` The predictions look like this: ``` [[{'As': 'C'},   {'much': 'C'},   {'as': 'C'},   {'I': 'C'},   {'definitely': 'C'},   {'enjoy': 'C'},   {'solitude,': 'C'},   {'I': 'C'},   {"wouldn't": 'C'},   {'mind': 'C'},   {'perhaps': 'E'},   {'spending': 'C'},   {'little': 'C'},   {'time': 'C'},   {'with': 'C'},   {'you': 'C'},   {'(Björk)': 'C'}]] ``` In other words, the token 'perhaps' is recognized as an **epistemic uncertainty cue** and all the other tokens are not uncertainty cues.  