Automatic Speech Recognition
NeMo
ONNX
Safetensors
GGUF
parakeet_tdt
parakeet
tdt
sherpa-onnx
multilingual
speech-recognition
gabor
fastconformer
Instructions to use oruk/orukeet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use oruk/orukeet with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("oruk/orukeet") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Commit History
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Add verified standalone sherpa ONNX files for native model catalogs
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Add validated combined INT8 ONNX export for local Rust engines
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Document the faster ONNX export and paired OpenWhispr validation
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Speed up the sherpa ONNX export with exact depthwise arithmetic
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Document the shared sherpa-onnx deployment and OpenWhispr validation
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Add validated Parakeet TDT v3 ONNX INT8 deployment format
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