Creating document embeddings with Hugging Face's Transformers and Amazon SageMaker
Read OriginalThis technical tutorial explains how to create a real-time inference endpoint for document embeddings using Hugging Face's Transformers and Amazon SageMaker. It details the process of customizing the inference pipeline with an inference.py script to override default methods for model loading, preprocessing, prediction, and post-processing, specifically for tasks like sentence embeddings with mean pooling.
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