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| numpy<=1.26.4 | |
| transformers>=4.35.2 | |
| datasets==2.18.0 | |
| lightning>=2.1.0 | |
| hydra-core>=1.3.2 | |
| tensorboard>=2.14.1 | |
| natsort>=8.4.0 | |
| einops>=0.7.0 | |
| librosa>=0.10.1 | |
| rich>=13.5.3 | |
| gradio | |
| wandb>=0.15.11 | |
| grpcio>=1.58.0 | |
| kui>=1.6.0 | |
| uvicorn>=0.30.0 | |
| loguru>=0.6.0 | |
| loralib>=0.1.2 | |
| natsort>=8.4.0 | |
| pyrootutils>=1.0.4 | |
| vector_quantize_pytorch>=1.14.24 | |
| resampy>=0.4.3 | |
| einx[torch]==0.2.2 | |
| zstandard>=0.22.0 | |
| pydub | |
| faster_whisper | |
| modelscope==1.16.1 | |
| funasr==1.1.2 | |