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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.

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requirements.txt
 
 
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IBMSkillsNetwork: GPXX0PYAEN - Text Sentiment Analysis using Caikit and Hugging Face🌈🪄

Author✍️

Cognitive Class AI - Doug Davis (PhD.)💎

Mentee Assignment📝📂

Task for Mentee from IBM Advance AI Mentor @ Infinite Learning Course🎓

Completed Course: Practice to Create Text Sentiment Analysis using Caikit and Hugging Face from CognitiveClass.ai🔭🛸

Mentee Info✨

Name: Nisrina Ishmah Mahira🧕

Program: IBM Academy - Advance Al [Kampus Merdeka Batch 6 Tahun 2024]🏫🎉

Tech Stack💻

  • Python
  • YAML

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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.

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yaml-configuration huggingface text-sentiment-analysis caikit

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