KerasFormers Unifies 118 Models Across Keras 3

KerasFormers makes Keras a more credible multi-backend alternative for developers who want access to modern models without committing their entire stack to one framework.

• –Supports 118 model families spanning detection, segmentation, depth estimation, speech, LLMs, and vision-language tasks
• –Standardizes loading through `from_weights`, reducing migration friction between model architectures and backends
• –Converts weights from ecosystems including Hugging Face and timm while keeping inference code Keras-native
• –Built-in quantization options and support for large MoE checkpoints improve deployment flexibility
• –Its broad scope overlaps with Keras Hub, but the model coverage and Hugging Face compatibility make it especially useful for experimentation