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
- affiliations
- unseen
- 269 Bytes
- 169 kB xet
- 39.1 kB
- 377 kB xet
- 131 kB
- 345 Bytes
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- 20.8 kB
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- 26.3 kB
- 291 Bytes
- 33.6 kB
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- 15.8 kB
- 1.88 kB
- 41.5 kB
- 3.37 kB
- 1.07 kB
- 485 Bytes
- 18.2 kB
- 15.9 kB
- 41.2 kB
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- 358 Bytes
- 37.3 kB
- 20.7 kB
- 85.1 kB
- 21.3 kB
- 468 Bytes
- 20.6 kB
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- 18.8 kB