kvizas/parakeet-tdt-0.6b-diar-head

AI model by kvizas

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License. Everything in this repository — the head weights (head.pt), diarize.py and the configuration — is released under CC-BY-4.0, the same licence as the base model nvidia/parakeet-tdt-0.6b-v2, which this repository does not redistribute: diarize.py downloads it from NVIDIA at run time. The project's current system is a routed speaker-attributed ASR pipeline (transcribe.py: audio in, who-said-what SegLST + RTTM out) published at https://huggingface.co/kvizas/parakeet-tdt-0.6b-diar-adapters. It uses the robbn64 and rob3avgbn64 diarization arms of that repository, a per-speaker DiCoP decode with our adapters for meetings, and a learned word attribution for short recordings. cpWER / DER (%), same scorer as the baselines we ran: Settings were selected on a private evaluation set, with the public dev sets as a guard; details, caveats and usage are on that model card. The weights in this repository (the Phase-2 head on the frozen encoder) are unchanged, and diarize.py here is the same script as in the…

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Model overview

kvizas/parakeet-tdt-0.6b-diar-head is a task-unspecified model repository published by kvizas on Hugging Face. The source reports the nemo library.

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Model facts

Task: Not reported
Library: nemo
Recent downloads (30 days): 0
Cumulative likes: 0
Hugging Face trending score: 0
Reported safetensors parameters: Not reported
Architecture: Not reported
License: cc-by-4.0
Access: Not gated by Hugging Face
Created: 2026-09-21T06:12:44.000Z
Last modified: 2026-09-21T06:13:22.000Z

Compatibility and lineage

Reported languages: en

Reported base models: nvidia/parakeet-tdt-0.6b-v2

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Source: Hugging Face Hub. Metadata observed 2026-09-21T06:36:48.800Z. Daily imports are snapshots, not real-time monitoring.

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