v3.1.0

Based on transformers v4.21.3

New

New adapter methods

• Add LoRA implementation (@calpt via #334, #399): Documentation
• Add (IA)^3 implementation (@calpt via #396): Documentation
• Add UniPELT implementation (@calpt via #407): Documentation

New model integrations

• Add Deberta and DebertaV2 integration(@hSterz via #340)
• Add Vision Transformer integration (@calpt via #363)

Misc

• Add adapter_summary() method (@calpt via #371): More info
• Return AdapterFusion attentions using output_adapter_fusion_attentions argument (@calpt via #417): Documentation

Changed

• Upgrade of underlying transformers version (@calpt via #344, #368, #404)

Fixed

• Infer label names for training for flex head models (@calpt via #367)
• Ensure root dir exists when saving all adapters/heads/fusions (@calpt via #375)
• Avoid attempting to set prediction head if non-existent (@calpt via #377)
• Fix T5EncoderModel adapter integration (@calpt via #376)
• Fix loading adapters together with full model (@calpt via #378)
• Multi-gpu support for prefix-tuning (@alexanderhanboli via #359)
• Fix issues with embedding training (@calpt via #386)
• Fix initialization of added embeddings (@calpt via #402)
• Fix model serialization using torch.save() & torch.load() (@calpt via #406)