You can optimize inference speed for generative tasks using Hugging Face Accelerate by leveraging mixed precision, model parallelism, and optimized device allocation. Here are the key steps you can follow:
Here is the code for the above steps:

In the above code, we are using the following key points:
- Accelerator.prepare: Automatically distributes the model across available devices.
- accelerator.autocast: Enables mixed precision for faster computation.
- Efficient use of GPU/TPU via Hugging Face Accelerate.
Hence, this setup significantly improves inference speed while minimizing hardware constraints.