HuggingFace Introduces Quanto: A Python Quantization Toolkit to Reduce the Computational and Memory Costs of Evaluating Deep Learning Models

HuggingFace introduces Quanto, a Python quantization toolkit that reduces the computational and memory costs of evaluating deep learning models. Quanto simplifies the quantization process for PyTorch models, offers a range of features, supports dynamic and static quantization, automates tasks, and integrates with the Hugging Face Transformers library.