GitLab

Correct the  wrong note

loading saved model when n_classes != 2

Fixing various class documentations.

Add example for fine tuning BERT language model

Required to for: Assertion `t >= 0 && t < n_classes` failed,  if your default number of classes is not 2.

add exemplary training data. update to nvidia apex. refactor 'item -> line in doc' mapping. add warning for unknown word.

raises value error for bert tokenizer for long sequences

Use entry-points instead of scripts

Add license to source distribution

The recommended approach to create launch scripts is to use entry_points
and console_scripts.

xref: https://packaging.python.org/guides/distributing-packages-using-setuptools/#scripts

Adds an example for loading a pre-trained BERT model and fine tune it as a language model (masked tokens & nextSentence) on your target corpus.

Minor README fix 

Fourth release