EnergeticAI is like having TensorFlow.js tailored specifically for serverless functions. By delivering swift cold-start times, compact module sizes, and ready-to-use models, it bec..
EnergeticAI is like having TensorFlow.js tailored specifically for serverless functions. By delivering swift cold-start times, compact module sizes, and ready-to-use models, it becomes the perfect choice for seamlessly integrating open-source AI into your Node.js applications.
How to use
To integrate EnergeticAI into your Node.js applications, follow these instructions: 1. Install EnergeticAI via NPM: `npm install @energetic-ai/core` 2. Include and set up the model using the offered API methods. 3. Take advantage of pre-trained models, such as embeddings, classifiers, or semantic search, tailored to your specific needs.
Useful cases
Answering questions through semantic comprehension with QA models
Categorizing text with few training samples
Developing recommendations using sentence embeddings
Core features
Offers pre-trained models
Designed for cloud functions
Compact module size
Supports semantic search, embeddings, and classifiers
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