Instructions to use Buttermilk03/parakeet-primeline-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use Buttermilk03/parakeet-primeline-onnx with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("Buttermilk03/parakeet-primeline-onnx") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Parakeet Primeline ONNX
This repository contains an ONNX export of
primeline/parakeet-primeline
for use with onnx-asr and Scriber.
The source model is a German-focused Parakeet/FastConformer-TDT ASR model based on NVIDIA Parakeet TDT 0.6B v3. The original model card reports 2.95% average WER across its German benchmarks and is licensed under CC-BY-4.0.
Files
config.jsonvocab.txtencoder-model.onnxanddecoder_joint-model.onnxfor full precisionfp32- ONNX external data weight files used by the
fp32encoder export encoder-model-int8.onnxanddecoder_joint-model-int8.onnxfor the compact CPU-orientedint8exportscriber-quantizations.json
Quantizations
| Quantization | Files | Notes |
|---|---|---|
int8 |
encoder-model-int8.onnx, decoder_joint-model-int8.onnx |
CPU-load validated with onnx-asr; preferred for smaller downloads and normal local use. |
fp32 |
encoder-model.onnx, decoder_joint-model.onnx, external data files |
Full precision export. Load from a complete repository snapshot because the encoder uses many external data files. |
Scriber usage
Scriber can load this model through its Local ONNX provider without installing
NeMo/Torch on end-user machines. Scriber selects from the validated int8 and
fp32 variants and uses the complete local Hugging Face snapshot for fp32.
Attribution
Source model: primeline/parakeet-primeline, licensed CC-BY-4.0.
This repository only repackages the model as ONNX for local inference.
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Base model
primeline/parakeet-primeline