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
| { | |
| "source": "training/gabor_half/fits/fits.npz", | |
| "sha256": "52791beaf3219421e4ad3aa2e2591875b50dbfaa83a6309361c2df71db08de3d", | |
| "median_selected_rank": 6144, | |
| "median_original_flat_index": 2737, | |
| "selected_count": 12288, | |
| "caption": "Weight-fit measurements. The left example is rank 6,144 of the globally selected rows, normalized by original L2 norm. The right shows all layer counts; dashed line is 512, not a quota. No recognition accuracy is inferred." | |
| } | |