7 results
JUNE 24, 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.
MAY 13, 2025 / TensorFlow
Keras Recommenders (KerasRS) is a new library announced to help developers build recommendation systems using APIs with building blocks for ranking and retrieval, and it can be installed via pip with support for JAX, TensorFlow, or PyTorch backends.
NOV. 13, 2024 / Keras
Today, we're announcing that Francois Chollet, the creator of Keras and a leading figure in the AI world, is embarking on a new chapter in his career outside of Google.
OCT. 22, 2024 / Gemma
KerasHub is a new unified library for pretrained models fostering a more cohesive ecosystem for developers.
AUG. 16, 2024 / Gemma
Use the Gemma language model to gauge customer sentiment, summarize conversations, and assist with crafting responses in near real-time with minimal latency.
JUNE 27, 2024 / Gemma
The next generation of Gemma models is now available in KerasNLP.
MAY 7, 2024 / Kaggle
Now you can publish your fine-tuned models directly from the Keras API to either Kaggle or Hugging Face
