kvizas/parakeet-tdt-0.6b-diar-head
AI model by kvizas
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Model card & documentation
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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. This is a speaker diarization system built entirely on top of a frozen ASR model. NVIDIA's Parakeet-TDT-0.6B-v2 is loaded, switched to limited-context attention so it can take a whole meeting in one pass, and then never touched again: no weights change, no gradients flow into it, and its transcription quality is unaffected. The only thing that is read out of it is the activation of Conformer layer 5 — one 1024-dimensional vector every 80 ms. A small trained transformer (15.2 M parameters, 4 layers, d=512) reads that sequence and emits, per frame, four independent "is speaker k talking right now" probabilities. Because the probabilities are independent, overlapped speech is…
Read the full model card ↗ · Preview checked 2026-09-21T07:50:40.988Z
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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.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
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
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-21T06:36:48.800Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.