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

- Xet hash:
- 21ef64505dcb5f1135fd9629293b9be01f3299ef44b18f13981fc6c648689457
- Size of remote file:
- 92.2 kB
- SHA256:
- 9b340101e45a7ba6268f1b9c90037d9c2cf00c2c1768272bd3bdcaffd9b231ff
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