😊 BERT Emotion — Lightweight BERT for Real Time Emotion Detection 🌟 Table of Contents 📖 Overview ✨ Key Features 💫 Supported Emotions ⚙️ Installation 📥 Download Instructions 🚀 Quickstart: Emotion Detection 📊 Evaluation 💡 Use Cases 🖥️ Hardware Requirements 📚 Trained On 🔧 Fine Tuning Guide ⚖️ Comparison to Other Models 🏷️ Tags 📄 License 🙏 Credits 💬 Support & Community ✍️ Contact Overview BERT Emotion is a lightweight NLP model derived from bert mini and bert micro , fine tuned for short text emotion detection on edge and IoT devices . With a quantized size of ~20MB and ~6M parameters , it classifies text into 13 rich emotional categories (e.g., Happiness, Sadness, Anger, Love) with high accuracy. Optimized for low latency and offline operation , BERT Emotion is ideal for privacy first applications like chatbots, social media sentiment analysis, and mental health monitoring in resource constrained environments such as mobile apps, wearables, and smart home devices. Model Name : BERT Emotion Size : ~20MB (quantized) Parameters : ~6M Architecture : Lightweight BERT (4 layers, hidden size 128, 4 attention heads) Description : Lightweight 4 layer, 128 hidden model for emotio…
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