Automatic Speech Recognition
NeMo
ONNX
Safetensors
GGUF
parakeet_tdt
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: 1,149 Bytes
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"ParakeetForTDT"
],
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"decoder_hidden_size": 640,
"dtype": "float32",
"durations": [
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"encoder_config": {
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"dropout": 0.1,
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"hidden_act": "silu",
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"model_type": "parakeet_encoder",
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"num_mel_bins": 128,
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"subsampling_conv_channels": 256,
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"transformers_version": "5.15.1",
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}
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