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@@ -224,6 +224,11 @@ Canary-Qwen is a Speech-Augmented Language Model (SALM) [9] model with FastConfo
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  To train, fine-tune or transcribe with Canary-Qwen-2.5B, you will need to install [NVIDIA NeMo](https://github.com/NVIDIA/NeMo).
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  ## How to Use this Model
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  The model is available for use in the NVIDIA NeMo toolkit [6], and can be used as a pre-trained checkpoint for inference or for fine-tuning on another dataset.
 
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  To train, fine-tune or transcribe with Canary-Qwen-2.5B, you will need to install [NVIDIA NeMo](https://github.com/NVIDIA/NeMo).
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+ ```bash
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+ # Currently requires installing the latest trunk version of NeMo, and PyTorch 2.6+ for FSDP2 support.
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+ pip install git+https://github.com/NVIDIA/NeMo
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+ ```
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+
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  ## How to Use this Model
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  The model is available for use in the NVIDIA NeMo toolkit [6], and can be used as a pre-trained checkpoint for inference or for fine-tuning on another dataset.