machinelearnear/open-hf-spaces-in-studiolab
template for duplicating and executing Hugging Face Spaces either on SM Studio Lab, Google Colab, or locally.
This project helps machine learning practitioners run existing Hugging Face Spaces applications within a free SageMaker Studio Lab environment. It takes a Hugging Face Space URL as input and allows you to execute the associated ML application, providing a fully functional demo environment with free GPU resources. This is ideal for ML developers, researchers, or data scientists looking to demonstrate or test ML models without incurring cloud costs.
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Use this if you want to run or showcase a machine learning application from Hugging Face Spaces using free GPU computing resources in SageMaker Studio Lab, instead of relying on the original hosted platform.
Not ideal if you need to deploy a production-ready machine learning application or if you prefer to build and host your applications directly on Hugging Face Spaces.
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Jupyter Notebook
License
Apache-2.0
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Last pushed
Jan 09, 2023
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