ML Frameworks - Huggingface Accelerate
Publish your model insights with interactive plots for performance metrics, predictions, and hyperparameters. Made by Aman Arora using Weights & Biases
HF Accelerate was created for PyTorch users who like to write the training loop of PyTorch models but are reluctant to write and maintain the boilerplate code needed to use multi-GPUs/TPU/fp16.
Accelerate abstracts exactly and only the boilerplate code related to multi-GPUs/TPU/fp16 and leaves the rest of your code unchanged.
As part of this first event on ML frameworks, we were digging deep into HF Accelerate.