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Running on Zero
| """Gepard inference package — a lean, self-contained extraction of the | |
| inference-only classes from the `gepard-train` project. | |
| Public surface: | |
| * :class:`~gepard_inference.engine.GepardEngine` — high-level facade that | |
| owns the TTS runner, the NeMo codec and the preset speaker library. | |
| * :class:`~gepard_inference.engine.AppConfig` — YAML-backed application | |
| configuration (checkpoint, codec, speakers, generation defaults). | |
| * :class:`~gepard_inference.runner.GepardRunner` — low-level autoregressive | |
| runner with text classifier-free guidance. | |
| NOTE: importing this package pulls torch / transformers / NeMo. On a Hugging | |
| Face Space the environment must be prepared first (``create_env.py``). | |
| """ | |
| from .engine import AppConfig, GepardEngine, GenerationParams | |
| from .speakers import SpeakerLibrary | |
| __all__ = ["AppConfig", "GepardEngine", "GenerationParams", "SpeakerLibrary"] | |