v0.7.0

v0.7.0 Bug Fixes Galore

This release introduces numerous bug fixes, including critical ones for push_to_hub, save_pretrained and distillation training.

Bug fixes and improvements

• Add a warning if an unsplit dataset is passed to SetFitTrainer by @jaalu in #299
• Improve dataset pre-processing speeds for large datasets by @logan-markewich in #309
• Add Path support to _save_pretrained, resolve TypeError: unsupported operand type(s) for +: 'PosixPath' and 'str' by @tomaarsen in #332
• Add Hallmarks of Cancer notebook by @MosheWasserb in #333
• Initialize SetFitModel with cls instead by @kobiche in #341
• Allow distillation training with models using differentiable heads by @tomaarsen in #343
• Prevent TypeError on model.predict when using string labels by @tomaarsen in #331
• Restrict pandas to <2 for compatibility tests by @tomaarsen in #350
• Update Trainer.push_to_hub to use **kwargs by @tomaarsen in #351
• Add metric keyword arguments, e.g. add "average" strategy to f1 by @tomaarsen in #353

Significant community contributions

The following contributors have made significant changes to the library over the last release:

• @jaalu
  • Add a warning if an unsplit dataset is passed to SetFitTrainer (#299)
• @tomaarsen
  • Add comparison plotting script (#319)
  • Resolve IndexError if there is just one K-shot scenario
  • Reintroduce Usage in README until docs are ready
  • Add Path support to _save_pretrained (#332)
  • Allow distillation training with models using differentiable heads (#343)
  • Prevent TypeError on model.predict when using string labels (#331)
  • Restrict pandas to <2 for compatibility tests (#350)
  • Update Trainer.push_to_hub to use **kwargs (#351)
  • Add metric keyword arguments, e.g. add "average" strategy to f1 (#353)
• @EdAbati
  • Add cache for 🤗 Hub models in the CI (#312)
  • Rerun hyperparameter search notebook (#321)
• @MosheWasserb
  • Add Hallmarks of Cancer notebook (#333)