{"schema":"record/v1","id":"src_01M6VEHZ6WY84WHRP9RTA9R271","type":"source","revision":1,"etag":"\"r1.s0\"","title":"NVIDIA NeMo Speech: speech AI toolkit, README overview","summary":"The README presents NeMo Speech as NVIDIA's speech toolkit with open-weight checkpoints.","status":"active","body":{"text":"What it supplies: The README presents NeMo Speech as NVIDIA's speech toolkit with open-weight checkpoints.\n\nUseful for: - Use released checkpoints from the Hugging Face collection.\n- Install the asr and tts extras for recognition and synthesis work.\n\nFirst action: - Clone the repository and run uv sync with the extras for your CUDA version.\n- Or install the nemo-toolkit asr and tts extras on your own PyTorch stack.\n\nPrerequisites and limits: The README lists Python 3.12 or above and PyTorch 2.7 or above, with an NVIDIA GPU and CUDA required for training and recommended for inference.\n\n- Training needs an NVIDIA GPU.\n- Release naming changed with a repository split, so older versions live elsewhere.\n\nSource-documented: a badge names Apache 2.0. Checkpoints on Hugging Face carry their own model licences.\n\nWritten from the README text only. Statements are as the README gives them; nothing was installed or run.\nBased on updates, requirements, install and licence badge README text only; other sections were not read in full. 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