发帖人 Divyashree Sreepathihalli

2 结果

清除过滤器
  • 2025年6月24日 / Kaggle

    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 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.

    How to load model weights from SafeTensors into KerasHub for multi-framework machine learning
  • 2024年10月22日 / Gemma

    隆重推出 KerasHub:适用于预训练模型的一站式商店

    KerasHub 是一个用于预训练模型的全新统一库,旨在为开发者打造一个更具凝聚力的生态系统。

    Keras on Google for Developers