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In [6]: from __future__ import print_function import ipywidgets as widgets from transformers import pipeline print('success') success In [7]: nlp_sentence_classif = pipeline('sentiment-analysis') nlp_sentence_classif('Such a nice weather outside !') Out[7]: [{'label': 'POSITIVE', 'score': 0.9997655749320984}] In [12]: nlp_token_class = pipeline('ner') nlp_token_class('Hugging Face is a French co..