HuggingFace Agents

This section contains documentation for Rustic AI's HuggingFace integration, which provides access to various AI models from the Hugging Face ecosystem.

Available Agents

• LLMPhiAgent - Interface to Microsoft's Phi-2 language model
• RunwaymlStableDiffusionAgent - Image generation using Stable Diffusion
• Image2ImageAgent - Image-to-image transformation with Pix2Pix
• SpeechT5TTSAgent - Text-to-speech synthesis
• SquadAgent - Question answering using the SQuAD model

Overview

HuggingFace agents enable seamless integration with the HuggingFace ecosystem, allowing you to incorporate state-of-the-art AI models into your Rustic AI applications. These agents cover a wide range of capabilities, from text generation and question answering to image creation and speech synthesis.

Use Cases

• Text generation using language models
• Image generation and manipulation
• Speech synthesis from text
• Question answering from context
• Multi-modal AI applications
• Local model inference (where supported)

Getting Started

To use HuggingFace agents, you'll need:

1. The appropriate HuggingFace libraries installed in your environment
2. Sufficient hardware resources for models running locally
3. A HuggingFace API key for remote inference (when applicable)
4. Proper configuration of the respective agent in your guild

Refer to the individual agent documentation for detailed implementation instructions.