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
Stage Orukeet INT8 Core ML candidate for OpenWhispr draft integration
#2
by NathanRoll - opened
Existing portable inference archive, uploaded byte-for-byte. INT8 encoder weights, FP16 remaining components, greedy v3 decoding, 16 kHz mono. Archive includes its 400-clip evaluation, attribution and historical experimental provenance. Draft app integration and runtime validation are tracked in https://github.com/Oruk-AI/orukeet/pull/10. No training checkpoint or compiled device cache is included.