Spaces:
Running on Zero
Running on Zero
Download scripts/prefetch_models.py from Rafii/videovoice: direct link, hf CLI and curl.
- Browser
- Download file 1.33 kB
-
https://huggingface.co/spaces/Rafii/videovoice/resolve/main/scripts/prefetch_models.py
- Command line
-
hf download hf://spaces/Rafii/videovoice/scripts/prefetch_models.py
-
curl -L -o prefetch_models.py https://huggingface.co/spaces/Rafii/videovoice/resolve/main/scripts/prefetch_models.py
1.33 kB
| """Prefetch model weights into HF_HOME for faster cold starts on Spaces.""" | |
| import os | |
| def _prefetch_chatterbox() -> None: | |
| from chatterbox.mtl_tts import ChatterboxMultilingualTTS | |
| print("[prefetch] Chatterbox Multilingual TTS") | |
| _ = ChatterboxMultilingualTTS.from_pretrained("cpu") | |
| def _prefetch_faster_whisper() -> None: | |
| from faster_whisper import WhisperModel | |
| raw = os.getenv("FASTER_WHISPER_MODELS") | |
| if raw: | |
| models = [m.strip() for m in raw.split(",") if m.strip()] | |
| else: | |
| models = [os.getenv("FASTER_WHISPER_MODEL", "large-v3")] | |
| for model_name in models: | |
| print(f"[prefetch] faster-whisper {model_name}") | |
| _ = WhisperModel(model_name, device="cpu", compute_type="int8") | |
| def _prefetch_demucs() -> None: | |
| from demucs.pretrained import get_model | |
| print("[prefetch] Demucs htdemucs") | |
| _ = get_model("htdemucs") | |
| def main() -> None: | |
| tts_engine = os.getenv("TTS_ENGINE", "chatterbox").lower() | |
| print(f"[prefetch] HF_HOME={os.getenv('HF_HOME', '<unset>')}") | |
| if tts_engine == "chatterbox": | |
| _prefetch_chatterbox() | |
| else: | |
| print(f"[prefetch] skipping chatterbox prefetch for TTS_ENGINE={tts_engine}") | |
| _prefetch_faster_whisper() | |
| _prefetch_demucs() | |
| print("[prefetch] done") | |
| if __name__ == "__main__": | |
| main() | |