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
File size: 5,409 Bytes
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"protocol": {
"clips": 120,
"reference_words": 2433,
"selection": "first 20 FLEURS validation rows in en_us, de_de, es_419, fr_fr, ru_ru, uk_ua",
"manifest_sha256": "ad89c16cb46654215fdaf84507937d38825568991d4b4660036ef8d21b74c92a",
"normalization": "NFKC/casefold; Unicode punctuation/symbols to spaces; collapse whitespace; no number expansion",
"hardware": "Apple M5 Max, 128 GiB, macOS 26.4.1",
"timing": "No comparative speed claim; these native checks were not isolated paired timing runs."
}
}
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