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Hugging Face on Amazon SageMaker


Hugging Face on Amazon SageMaker

With the new Hugging Face DLCs, train cutting-edge Transformers-based NLP models in a single line of code.

Train and deploy Hugging Face on Amazon SageMaker

The get started guide will show you how to quickly use Hugging Face on Amazon SageMaker. Learn how to fine-tune and deploy a pretrained 🤗 Transformers model ...

Hugging Face — sagemaker 2.233.0 documentation

Handles Amazon SageMaker processing tasks for jobs using HuggingFace containers. This processor executes a Python script in a HuggingFace execution environment.

Deploy models to Amazon SageMaker - Hugging Face

Deploy a model from the Hub ... To deploy a model directly from the Hub to SageMaker, define two environment variables when you create a HuggingFaceModel :.

Deploying Hugging Face models with Amazon SageMaker and ...

In this video, I walk you through the simple process of deploying a Hugging Face large language model on AWS, with Amazon SageMaker and the ...

Run training on Amazon SageMaker - Hugging Face

We're on a journey to advance and democratize artificial intelligence through open source and open science.

aws/sagemaker-huggingface-inference-toolkit - GitHub

SageMaker Hugging Face Inference Toolkit ... SageMaker Hugging Face Inference Toolkit is an open-source library for serving Transformers and Diffusers models on ...

Run training on Amazon SageMaker - Hugging Face

The Hugging Face Estimator can load a training script stored in a GitHub repository. Provide the relative path to the training script in entry_point and the ...

Run training on Amazon SageMaker - Hugging Face

Create an HuggingFace Estimator¶. You run Transformers training scripts on SageMaker by creating HuggingFace Estimators. The Estimator handles end-to-end ...

Introduction to Hugging Face on Amazon SageMaker - YouTube

AWS collaborated with Hugging Face to create Hugging Face AWS Deep Learning Containers (DLCs), which provide data scientists and ML ...

Amazon Web Services - Hugging Face

To train Hugging Face models in Amazon SageMaker, you can use the Hugging Face Deep Learning Containers (DLCs) and the Hugging Face support in the SageMaker ...

SageMaker JumpStart: deploy Hugging Face models in minutes!

Comments34 · Deploy LLMs (Large Language Models) on AWS SageMaker using DLC · What is Amazon SageMaker? · Summarizing legal documents with Hugging ...

Introducing the Hugging Face Embedding Container for Amazon ...

AWS customers can now efficiently deploy embedding models on SageMaker to build Generative AI applications, including Retrieval-Augmented ...

Deploying the Hugging Face LLM in Amazon SageMaker - Medium

In this article, I will describe LLM learning approaches, introduce Hugging Face Deep Learning Containers (DLCs), and guide you through deploying models using ...

aws-samples/amazon-sagemaker-workshop-for-huggingface - GitHub

Workshop for running HuggingFace Models on Amazon SageMaker. - GitHub - aws-samples/amazon-sagemaker-workshop-for-huggingface: Workshop for running ...

Deploy and Run Hugging Face Models in AWS SageMaker - Medium

In this guide, we'll walk through the process of deploying and running Hugging Face models in AWS SageMaker, allowing you to leverage advanced NLP models.

Introducing the Hugging Face LLM Inference Container for Amazon ...

This is an example on how to deploy the open-source LLMs, like BLOOM to Amazon SageMaker for inference using the new Hugging Face LLM ...

Build, train, deploy, and operationalize Hugging Face models on ...

In this workshop, learn how you can explore Hugging Face Transformer models and experiment on an end-to-end text generation use case with Amazon SageMaker ...

Hosting with Hugging Face on Amazon SageMaker - YouTube

With the new Hugging Face AWS Inference DLCs, you can deploy your trained models for inference with just one more line of code, ...

Latest Amazon SageMaker topics - Hugging Face Forums

This category is for any questions related to using Hugging Face Transformers with Amazon SageMaker. Don't forget to check the announcement blogpost for ...