Step-by-step guide to deploying Google's FLAN-UL2 20B language model on Amazon SageMaker for real-time inference. Covers creating a custom inference.py script using Hugging Face Transformers (AutoModelForSeq2SeqLM), packaging model weights into a model.tar.gz artifact, uploading to S3, deploying to a g5.12xlarge GPU instance with 4x NVIDIA A10G GPUs, and running inference with various text generation configurations including beam search and custom decoding parameters.
