0.35.0

This is a big one! We made a lot of changes and improvements in Hezar.

Improvements

• Add support for accelerate for distributed training
• Add resume from checkpoint feature to Trainer
• Improve saving/logging capabilities in Trainer
• Improve print_info()
• Add ImageCaptioningDataset and ImageCaptioningDataCollator
• Enhance padding in tokenizers
• Rewrite contribution docs
• Add tests workflow to actions
• Add cache_dir parameter to all load() methods
• Improve OCRDataset and bug fixes
• Add training scripts for image captioning
• Add training script for CRNN training
• Clean registry.py
• Change license from MIT to Apache 2.0
• Some improvements and bug fixes in ViTRobertaImage2Text
• Bug fixes in tests
• Safe class var handling in configs
• Add return_scores to CRNNImage2Text
• Add get_state_dict_from_hub to support loading from any (non-Hezar) model on the Hub
• Set default LR scheduler (reduce on plateau) to Trainer

Bug fixes

• Fix image captioning decoding bug
• Fix mixed precision bug on CPU
• Fix embedding config bug

Deletions

• Delete empty models modules
• Remove all Union annotations and replace with |