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T5 Model Added

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@ThilinaRajapakse ThilinaRajapakse released this 05 May 15:56
· 1429 commits to master since this release

Added

  • Added support for T5 Model.
  • Added do_sample arg to language generation.
  • NERModel.predict() now accepts a split_on_space optional argument. If set to False, to_predict must be a a list of lists, with the inner list being a list of strings consisting of the split sequences. The outer list is the list of sequences to predict on.

Changed

  • eval_df argument in NERModel.train_model() renamed to eval_data to better reflect the input format. Added Deprecation Warning.