notmax123/piper-medium-heb

Model Usage and Inference

These models are fully general-purpose and can be used for any text-to-speech inference scenario. They are not limited to a specific dataset, domain, or pipeline, and they support flexible integration into existing TTS systems or standalone applications. A complete, ready-to-run inference implementation is available here:

https://huggingface.co/spaces/thewh1teagle/phonikud-tts

The referenced Hugging Face Space contains:

• A working inference demo in the browser.
• Full inference source code for local execution.
• Examples showing how to feed text, speaker information, and configuration parameters.
• Instructions for integrating the model into Python-based TTS workflows.

These resources ensure that the models can be executed immediately without additional setup and can serve as a reference for custom deployments, API servers, or production TTS pipelines.