MLOps: OpenVino Quantized Model for Grammar Typo Detection

Explore the process of building a grammar typo detection model using a token classifier based on a fine-tuned Distilbert model with a Neuspell dataset in this 21-minute video. Learn how to transform the model into IR OpenVino format and perform inference on the CPU. Follow along with the provided notebook to gain hands-on experience in implementing MLOps techniques for natural language processing tasks.

MLOps: OpenVino Quantized Model To Detect Grammar Typos #datascience #machinelearning