ML Monitoring
NLP Inputs
Dive into our guide on using Fiddler to monitor NLP models. Learn how a multi-class classifier is applied to the dataset and monitored with Vector Monitoring.
This guide will walk you through the basic steps required to use Fiddler for monitoring NLP models. A multi-class classifier is applied to the 20newsgroup dataset and the text embeddings are monitored using Fiddler’s unique Vector Monitoring approach.
Click this link to get started using Google Colab →
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Or download the notebook directly from GitHub.