How can I fix the slow inference time when using Hugging Face s GPT for large inputs

Question

With the help of code, can you explain how I can fix the slow inference time when using Hugging Face’s GPT for large inputs?

Answer 1

To fix slow inference time with Hugging Face's GPT for large inputs, you can truncate or summarize inputs, you can use a smaller model, enable GPU acceleration, and optimize batch processing.

Here is the code snippet you can refer to:

In the above code, we are using the following key points:

• Truncate Inputs: Reduces input size to the model's maximum length (e.g., 512 tokens) for faster processing.
• GPU Acceleration: Moves the model and inputs to GPU for significantly faster inference.
• Efficient Decoding: Use techniques like beam search or adjust max_length to balance speed and output quality.

Hence, by referring to the above, you can fix the slow inference time when using Hugging Face's GPT for large inputs.