Parakeet-TDT 0.6B V2 by NVIDIA is here to change how we handle speech-to-text.

Built on the FastConformer architecture with a TDT decoder, this high-performance model handles long-form English audio — up to 24 minutes — with impressive accuracy. It preserves punctuation, capitalization, and delivers word-level timestamps, making it ideal for transcribing conversations, interviews, meetings, and even noisy recordings.

We just dropped a step-by-step guide showing you how to run this model locally or on a GPU Virtual Machine using NodeShift.

In this guide, you’ll learn how to:
- Deploy a NodeShift GPU VM (we used an A6000)
- Set up Python, Conda, and install NVIDIA NeMo Toolkit
- Transcribe .wav audio files in a few lines of code
- Launch a browser-based transcription interface using Gradio
- Access it securely via SSH from your local system

Whether you’re building voice interfaces, transcription pipelines, or just exploring powerful STT models — this one’s worth checking out.

Read the full guide: https://t.co/Cqn4Q6Q55d

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