python-v0.10.0rc1

Added

• [#508]: Add a Visualizer for notebooks to help understand how the tokenizers work
• [#519]: Add a WordLevelTrainer used to train a WordLevel model
• [#533]: Add support for conda builds
• [#542]: Add Split pre-tokenizer to easily split using a pattern
• [#544]: Ability to train from memory. This also improves the integration with datasets

Changed

• [#509]: Automatically stubbing the .pyi files
• [#519]: Each Model can return its associated Trainer with get_trainer()
• [#530]: The various attributes on each component can be get/set (ie. tokenizer.model.dropout = 0.1)
• [#538]: The API Reference has been improved and is now up-to-date.

Fixed

• [#519]: During training, the Model is now trained in-place. This fixes several bugs that were forcing to reload the Model after a training.
• [#539]: Fix BaseTokenizer enable_truncation docstring