optimum and optimum-graphcore

Optimum-graphcore is a specialized hardware backend plugin for Optimum that enables transformer training specifically on Graphcore IPUs, making them complementary tools designed to be used together rather than alternatives.

optimum
77
Verified
optimum-graphcore
46
Emerging
Maintenance 13/25
Adoption 15/25
Maturity 25/25
Community 24/25
Maintenance 0/25
Adoption 9/25
Maturity 16/25
Community 21/25
Stars: 3,325
Forks: 624
Downloads:
Commits (30d): 1
Language: Python
License: Apache-2.0
Stars: 87
Forks: 33
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
No risk flags
Stale 6m No Package No Dependents

About optimum

huggingface/optimum

🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools

This tool helps machine learning engineers and researchers accelerate the performance of their large language, image, and sentence models. It takes your existing AI models built with popular frameworks like Hugging Face Transformers or Diffusers and optimizes them for faster execution and training on specialized hardware. The output is a more efficient model that runs quicker and uses fewer resources.

AI model optimization machine learning deployment deep learning training natural language processing computer vision

About optimum-graphcore

huggingface/optimum-graphcore

Blazing fast training of 🤗 Transformers on Graphcore IPUs

This project helps machine learning engineers or researchers accelerate the training and fine-tuning of large language models and other AI models. It provides tools to efficiently run popular Hugging Face Transformers models on Graphcore Intelligence Processing Units (IPUs), which are specialized AI processors. You input your existing Transformer models and datasets, and it outputs faster-trained or fine-tuned models ready for deployment.

deep-learning natural-language-processing computer-vision model-training AI-acceleration

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