Instructions to use NbAiLab/nb-sami-asr-nemotron-3.5-streaming with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use NbAiLab/nb-sami-asr-nemotron-3.5-streaming with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("NbAiLab/nb-sami-asr-nemotron-3.5-streaming") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
nb-sami-asr-nemotron-3.5-streaming / olivia_nemotron35_asr_streaming_sme_lr2e-4_steps3000_h200x1-nemo-main_1223143.nemo
- Xet hash:
- b8792fb85721f3c44e52dfa9a539ff088db147bcb0285113dceb7c81831c63bc
- Size of remote file:
- 2.55 GB
- SHA256:
- 8cf688ed0f5bf1c4a645b67b1c7c4b6f9f57baa5a36bb67c6871dbff7c6fccd4
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