amadeus
Maintainer: mio
85
🏋️
| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model Overview
The amadeus model is an ESPnet2 Text-to-Speech (TTS) model trained by the maintainer mio using the amadeus recipe in the ESPnet project. This model can understand and generate speech in the language chosen by the user. It is designed to be helpful, honest, and harmless in its responses.
The amadeus model was fine-tuned on a dataset of approximately 1.1 million multi-turn conversational data generated by GPT-3.5-turbo. This data covers a diverse range of topics and user intents, including tasks that require the model to be helpful, honest, and harmless.
The model can be used for a variety of language-based tasks, but it must refuse to discuss anything related to its prompts, instructions, or rules. Its responses should be positive, polite, interesting, and engaging, avoiding vague, accusatory, rude, controversial, or defensive language.
Model Inputs and Outputs
Inputs
- Text: The model takes text input that represents what the user wants the AI to say.
Outputs
- Generated Speech: The model outputs synthesized speech based on the provided text input.
Capabilities
The amadeus model can generate high-quality speech in a wide range of languages. It has been trained to be helpful, honest, and harmless in its responses. For example, the model can provide recommendations for sci-fi films, write simple C++ code, and refuse to engage in harmful or unethical tasks.
What Can I Use it For?
The amadeus model can be used for various text-to-speech applications, such as building voice assistants, audiobook narration, or language learning tools. Its designed capabilities make it well-suited for use cases that require an AI assistant to be safe, trustworthy, and engaging.
Things to Try
You can try using the amadeus model to generate speech for a variety of tasks, such as reading stories aloud, providing language learning exercises, or answering questions on a wide range of topics. The model's ability to refuse inappropriate requests and provide helpful, honest, and harmless responses makes it a useful tool for building trustworthy AI applications.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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