Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE)
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Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE)
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Fast inference engine for Transformer models
🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools
Minimalistic large language model 3D-parallelism training
Ongoing research training transformer models at scale
