Automatic Speech Recognition
NeMo
ONNX
GGUF
parakeet
tdt
sherpa-onnx
multilingual
speech-recognition
gabor
fastconformer
Instructions to use aoiandroid/orukeet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use aoiandroid/orukeet with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("aoiandroid/orukeet") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
File size: 1,098 Bytes
88287a0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | {
"name": "Orukeet",
"version": "librispeech-native-format-r3",
"sha256": "031c8ddab4845aeced904a7cde8e8aa57993b2e344716cf83a545b079c473b56",
"parent_sha256": "0ccfefcd1894871cb0850bd3c464adf5397752840de2a76d1d2d075c4141a945",
"hf": {
"repo_id": "oruk/orukeet",
"revision": "555136b50265a132d4cea0d35560c26fc4f657ab",
"path": "orukeet-v0.1.0.nemo"
},
"freeze_audit": "evidence/librispeech-ft-20260908/r3/export-audit.json",
"archive_receipt": "evidence/librispeech-ft-20260908/r3/private-archive.json",
"evaluations": [
"evidence/standard-asr-r3-20260908/comparison.json",
"evidence/domains-r3-20260908/comparison.json"
],
"publication_authorized": true,
"scope": "The manuscript, canonical NeMo source, Q8 and F16 exports, and OpenWhispr integration all share this exact r3 source checkpoint. Export hashes are pinned in src/orukeet/artifacts.json.",
"archive_hf": {
"repo_id": "oruk/orukeet-internal",
"revision": "294d5bbc2f4ba79cbcf07776c52f580ff053a60d",
"path": "experiments/librispeech-ft-20260908/r3/orukeet-targeted-ft.nemo"
}
}
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