Automatic Speech Recognition
NeMo
GGUF
ONNX
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
| { | |
| "status": "released", | |
| "repo_id": "oruk/orukeet", | |
| "revision": "555136b50265a132d4cea0d35560c26fc4f657ab", | |
| "files": { | |
| "source": { | |
| "path": "orukeet-v0.1.0.nemo", | |
| "size": 2509342720, | |
| "sha256": "031c8ddab4845aeced904a7cde8e8aa57993b2e344716cf83a545b079c473b56", | |
| "source_sha256": "031c8ddab4845aeced904a7cde8e8aa57993b2e344716cf83a545b079c473b56" | |
| }, | |
| "q8": { | |
| "path": "orukeet-v0.1.0-q8.gguf", | |
| "size": 714456704, | |
| "sha256": "93ce19c6d8244acbfea980eeaf970531d4f216171578ef8e041dcc2d070a45bd", | |
| "source_sha256": "031c8ddab4845aeced904a7cde8e8aa57993b2e344716cf83a545b079c473b56" | |
| }, | |
| "f16": { | |
| "path": "orukeet-v0.1.0-f16.gguf", | |
| "size": 1296681088, | |
| "sha256": "de53fb8ec251fb07ade15baabe17b00774ae3f1112f8618b062337f90fb49194", | |
| "source_sha256": "031c8ddab4845aeced904a7cde8e8aa57993b2e344716cf83a545b079c473b56" | |
| } | |
| }, | |
| "model": "Orukeet", | |
| "selection": "r3", | |
| "version": "0.1.0" | |
| } | |