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
| { | |
| "primary_organization": "Oruk AI", | |
| "authors": [ | |
| { | |
| "name": "Nathan Roll", | |
| "affiliations": [ | |
| 1, | |
| 2 | |
| ] | |
| }, | |
| { | |
| "name": "Irene Yi", | |
| "affiliations": [ | |
| 1, | |
| 2 | |
| ] | |
| }, | |
| { | |
| "name": "Büşra Marşan", | |
| "affiliations": [ | |
| 1, | |
| 2 | |
| ] | |
| }, | |
| { | |
| "name": "Vianney Grenez", | |
| "affiliations": [ | |
| 1 | |
| ] | |
| }, | |
| { | |
| "name": "Gabriel Stein", | |
| "affiliations": [ | |
| 4 | |
| ] | |
| }, | |
| { | |
| "name": "Momcilo Mrkaic", | |
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| 5 | |
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| }, | |
| { | |
| "name": "Pavle Padjin", | |
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| "name": "Vladimir Zeljkovic", | |
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| "name": "Calbert Graham", | |
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| 1, | |
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| "source_report": "report/paper.tex", | |
| "citation": "CITATION.cff", | |
| "presentation": "Oruk leads each page; the remaining marks label author affiliations in report order." | |
| } | |