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24 DE JUNIO DE 2025 / Kaggle
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.
22 DE OCTUBRE DE 2024 / Gemma
KerasHub es una nueva biblioteca unificada para modelos preentrenados que fomenta un ecosistema más cohesivo para los desarrolladores.
