How 🤗 Accelerate runs very large models thanks to PyTorch

1. 1Import necessary libraries like torch and transformers
2. 2Load a large model using pipeline with device_map set to auto and torch_dtype set to torch.float16
3. 3Perform inference using the loaded model

Data scientists and machine learning engineers can benefit from this technology to deploy large models on various devices, while product managers can leverage it to offer more scalable solutions

💡 Hugging Face's Accelerate enables running large models on devices with limited RAM and GPU memory

🤖 Run large language models on limited hardware with Hugging Face's Accelerate and PyTorch!