Deployment of OpusLM_7B_Anneal requires a Python 3.7+ environment and virtual environment isolation. Core dependencies include the ESPnet toolkit (installed via pip), the PyTorch framework and its audio processing extension library torchaudio, and the soundfile audio file processing library. The model file needs to be downloaded via Hugging Face CLI, which contains a 3.77GB weights file (model.pth), model configuration and decoding configuration files in YAML format. To validate the installation, ESPnet's Text2Speech interface should be called to load the pre-trained model, and successful loading indicates that the environment is configured correctly. It is worth noting that it is recommended to run the model on a GPU with 16GB of video memory or more to ensure performance.
This answer comes from the articleOpusLM_7B_Anneal: an efficient unified model for speech recognition and synthesisThe
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