Introducing ๐ค Accelerate
What changed
Run your raw PyTorch training scripts on any kind of device. Most high-level libraries above PyTorch provide support for distributed training and mixed precision, but the abstraction they introduce require a user to learn a new API if they want to customize the underlying training loop. It provides two things: a simple and consistent API that abstracts that boilerplate code and a launcher command to easily run those scripts on various setups.
Why it matters
A concrete addition to Practical AI: Tools, Models & Frameworks: it changes what's available to builders today rather than being general commentary.
How it compares
Related prior coverage to compare against:
- Co-Scientist: A multi-agent AI partner to accelerate research
- Incredibly Fast BLOOM Inference with DeepSpeed and Accelerate
- Accelerate BERT inference with Hugging Face Transformers and AWS Inferentia
Sources
- Introducing ๐ค Accelerate (huggingface-blog)primary