Welcome to this tutorial on how to create a custom inference handler for Hugging Face Inference Endpoints.

Learn how to optimize GPT-J for GPU inference with a 1-line of code using Hugging Face Transformers and DeepSpeed.

Learn how to fine-tune Donut-base for document-understand/document-parsing using Hugging Face Transformers. Donut is a new document-understanding model achieving state-of-art performance and can be used for commercial applications.

Learn how to Sentence Transformers model with TensorFlow and Keras for creating document embeddings

Learn how to pre-traing BERT from scratch using Hugging Face Transformers and Habana Gaudi.

Learn how to optimize BERT for GPU inference with a 1-line of code using Hugging Face Transformers and DeepSpeed.

Learn how to optimize Sentence Transformers using Hugging Face Optimum. You will learn how dynamically quantize and optimize a Sentence Transformer for ONNX Runtime.

Learn how to migrate your training jobs to a Habana Gaudi-based DL1 instance on AWS using EC2 Remote Runner.

Learn how to optimize Vision Transformer (ViT) using Hugging Face Optimum. You will learn how dynamically quantize a ViT model for ONNX Runtime.

Learn how to optimize Hugging Face Transformers models for NVIDIA GPUs using Optimum. You will learn how to optimize a DistilBERT for ONNX Runtime