Projects

Tutorials for getting started with Deep Learning Pytorch and Hugging Face libraries like transformers, datasets.

Clipper is a Node.js command line tool that allows you to easily clip content from web pages and convert it...

🤗 TRL is a full stack library to train LLMs with Reinforcement Learning, from the Supervised Fine-tuning step (SFT)

EasyLLM is an open source project that provides helpful tools and methods for working with large language models (LLMs), both...

Hugging Face LLM DLC is a new purpose-built Inference Container to easily deploy LLMs in a secure and managed environment.

IGEL (Instruction-based German Language Model) is an LLM designed for German language understanding tasks, including sentiment analysis, language translation, and...

🤗 Inference Endpoints is a secure production solution to easily deploy ML models on dedicated, secure & scalable infrastructure.

Hugging Face Endpoints, a new Machine Learning (ML) inference service powered by Azure ML Managed Endpoints. Hugging Face Endpoints let...

🤗 Transformers provides thousands of pretrained transformer models to perform tasks on text, vision and speech.

🤗 Optimum is an extension of Hugging Face Transformers to achieve maximum efficiency to train and run models on accelerated...

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

A containerized solution to deploy fully optimized inference pipelines for State of the Art Transformer models into your own production...

🤗 Datasets is a library for easily accessing and sharing datasets, and evaluation metrics for Natural Language Processing (NLP), computer...

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in Hugging Face Transformers,...

A collection of Jupyter Notebooks guiding, showcasing, and helping you get started with Hugging Face Transformers on Amazon SageMaker including...