Automatic Speech Recognition
NeMo
Core ML
PyTorch
speech
audio
Transducer
TDT
FastConformer
Conformer
NeMo
hf-asr-leaderboard
Instructions to use VoiceScribe/parakeet-tdt-0.6b-v3-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use VoiceScribe/parakeet-tdt-0.6b-v3-coreml with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("VoiceScribe/parakeet-tdt-0.6b-v3-coreml") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
| # Upstream Source | |
| This repository is a Voice Scribe **mirror** of an upstream model. The model | |
| weights and code are unchanged from the upstream at the recorded revision. | |
| | Field | Value | | |
| | --- | --- | | |
| | Upstream repo | `FluidInference/parakeet-tdt-0.6b-v3-coreml` | | |
| | Upstream revision (sha) | `aed02740059203c4a87495924f685de3722ae9ce` | | |
| | Mirror created | `2026-05-07 13:09:30 UTC` | | |
| | Mirror slug | `parakeet-coreml` | | |
| | Description | Parakeet-TDT 0.6B v3 - native Core ML / FluidAudio artifacts. | | |
| ## Why mirror? | |
| The shipping Voice Scribe installer pins every Apple model to the `VoiceScribe/*` | |
| namespace for a single source of truth, integrity check, and future CDN | |
| migration. Upstream repos retain their original license (see | |
| `LICENSE*` / `README*` files preserved unchanged below). | |
| ## Maintenance | |
| When upstream publishes a new revision we want to adopt, run the matching | |
| Voice Scribe mirror script with `--only parakeet-coreml` from the repo root. The script | |
| creates a new commit on this mirror that replaces the snapshot and updates | |
| this `UPSTREAM_SOURCE.md`. | |