Using KerasHub for easy end-to-end machine learning workflows with Hugging Face

KerasHub enables users to mix and match model architectures and weights across different machine learning frameworks, allowing checkpoints from sources like Hugging Face Hub (including those created with PyTorch) to be loaded into Keras models for use …


This content originally appeared on Google Developers Blog and was authored by Google Developers Blog

KerasHub enables users to mix and match model architectures and weights across different machine learning frameworks, allowing checkpoints from sources like Hugging Face Hub (including those created with PyTorch) to be loaded into Keras models for use with JAX, PyTorch, or TensorFlow. This flexibility means you can leverage a vast array of community fine-tuned models while maintaining full control over your chosen backend framework.


This content originally appeared on Google Developers Blog and was authored by Google Developers Blog


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Google Developers Blog | Sciencx (2025-06-25T04:17:54+00:00) Using KerasHub for easy end-to-end machine learning workflows with Hugging Face. Retrieved from https://www.scien.cx/2025/06/25/using-kerashub-for-easy-end-to-end-machine-learning-workflows-with-hugging-face/

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" » Using KerasHub for easy end-to-end machine learning workflows with Hugging Face." Google Developers Blog | Sciencx - Wednesday June 25, 2025, https://www.scien.cx/2025/06/25/using-kerashub-for-easy-end-to-end-machine-learning-workflows-with-hugging-face/
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" » Using KerasHub for easy end-to-end machine learning workflows with Hugging Face." Google Developers Blog | Sciencx [Online]. Available: https://www.scien.cx/2025/06/25/using-kerashub-for-easy-end-to-end-machine-learning-workflows-with-hugging-face/. [Accessed: ]
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» Using KerasHub for easy end-to-end machine learning workflows with Hugging Face | Google Developers Blog | Sciencx | https://www.scien.cx/2025/06/25/using-kerashub-for-easy-end-to-end-machine-learning-workflows-with-hugging-face/ |

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