Automatic Speech Recognition
NeMo
ONNX
PyTorch
speech-recognition
cache-aware ASR
streaming-asr
multilingual
speech
audio
FastConformer
RNNT
Parakeet
ASR
NeMo
Eval Results (legacy)
Instructions to use onnx-community/nemotron-3.5-asr-streaming-0.6b-onnx-int4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use onnx-community/nemotron-3.5-asr-streaming-0.6b-onnx-int4 with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("onnx-community/nemotron-3.5-asr-streaming-0.6b-onnx-int4") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a4487e0b7c94817cef97f540e9380d7a5aeea0355f4016b4179ccc83cbcab4b
- Size of remote file:
- 59.8 MB
- SHA256:
- e5fd55cbeeb268f9d383e2ee72735b9fbbb13aea4bc7cd38cb73b8e16f1366c7
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