Automatic Speech Recognition
NeMo
ONNX
GGUF
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
| { | |
| "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" | |
| } | |
| } | |