Multilingual Asr Fine-tuning With 8-bit Quantization

Hugging Face PEFT implements parameter-efficient fine-tuning methods (LoRA, QLoRA, IA3, prompt tuning, adapters and more) on top of Transformers, Diffusers, Accelerate and TRL. It lets you train and serve large models with a fraction of the GPU memory and storage, with only small adapter checkpoints.

AI Frameworks | Python · peft · lora