Explore the Model Compression Toolkit (MCT) through our tutorials, covering compression techniques for Keras and PyTorch models. Access interactive Jupyter notebooks for hands-on learning.
Learn how to quickly quantize pre-trained models using MCT's post-training quantization technique for both Keras and PyTorch models.
This set of tutorials covers all the quantization tools provided by MCT. The notebooks in this section demonstrate how to configure and run simple and advanced post-training quantization methods. This includes fine-tuning PTQ (Post-Training Quantization) configurations, exporting models, and exploring advanced compression techniques. These techniques are essential for further optimizing models and achieving superior performance in deployment scenarios.