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Feature/trained models inference #226
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* feat: allow for loading lightning model from ckpt * fix: missing arg in lightning_sequence_labeling.py * feat: notebook with inference example for lightning * feat: notebook with inference example for flair * feat: implement load_from_ckpt method for LightningTask * fix: restore inference after rebase for lightning * feat: tests for lightning inference * refactor: move lightning inference notebook to tutorials and refactor * refactor: switch to herbert for testing inference * feat: implement flair task from_checkpoint method * refactor: lightning inference and datamodule * tests: add flair trained model inference * refactor: update notebooks with current code * refactor: naming in Lightning modules * fix: tests and notebooks after rebase * refactor: loading model from ckpt for lightning * fix(tests): flair inference tests * fix(tests): isort * fix: inference for lightning pipelines * refactor: inference tests for flair and lightning * misc: update tutorial notebook * refactor: pr issues
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