A tutorial on creating custom inference handlers for Hugging Face Inference Endpoints to add business logic and dependencies.
A tutorial on fine-tuning the Donut model for document parsing using Hugging Face Transformers and the SROIE dataset.
Learn to optimize Hugging Face Transformers models using Optimum and ONNX Runtime for faster inference with dynamic quantization.
Guide to setting up a deep learning environment on AWS using Habana Gaudi accelerators and Hugging Face libraries for transformer models.
Compares Amazon SageMaker's four inference options for deploying Hugging Face Transformers models, covering latency, use cases, and pricing.
A tutorial on deploying Hugging Face's wav2vec2 model on Amazon SageMaker for automatic speech recognition using the updated SageMaker SDK.
A guide to deploying Hugging Face's DistilBERT model for serverless inference using Amazon SageMaker, including setup and deployment steps.
Guide to deploying a Sentence Transformers model on Amazon SageMaker for generating document embeddings using Hugging Face's Inference Toolkit.
A workshop series on using Hugging Face Transformers with Amazon SageMaker for enterprise-scale NLP, covering training, deployment, and MLOps.
Guide to deploying Hugging Face Transformer models using Amazon SageMaker Serverless Inference for cost-effective ML prototypes.
Guide to fine-tuning a Hugging Face BERT model for text classification using Amazon SageMaker and the new Training Compiler to accelerate training.
Guide to building an end-to-end MLOps pipeline for Hugging Face Transformers using Amazon SageMaker Pipelines, from training to deployment.
A guide to deploying and auto-scaling Hugging Face Transformer models for real-time inference using Amazon SageMaker.
A tutorial on deploying the BigScience T0_3B language model to AWS and Amazon SageMaker for production use.
A tutorial on deploying Hugging Face Transformer models to production using AWS SageMaker, Lambda, and CDK for scalable, secure inference endpoints.
