This project configured the Caikit runtime to load and run a Hugging Face text sentiment analysis model. Then deployed a client application on the runtime that used the Caikit API to query the Hugging Face model for sentiment analysis on text strings. The model response included the sentiment analysis and a confidence score for each sample.
This project shows how to add a custom model to caikit and use the proto-files with GRCURL.
This project is a Text Sentiment Analysis application that leverages the power of Caikit and Hugging Face to perform sentiment analysis on textual data. The goal of this project is to provide an accessible and efficient way for users to analyze the sentiment of text inputs, such as reviews, comments, or any arbitrary text samples.
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