Automatic Speech Recognition
Safetensors
MLX
mlx-audio
nemotron_asr
speech-to-text
asr
stt
transcription
streaming
fastconformer
rnnt
Instructions to use Promptengineering/nemotron-3.5-asr-streaming-0.6b-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Promptengineering/nemotron-3.5-asr-streaming-0.6b-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir nemotron-3.5-asr-streaming-0.6b-mlx Promptengineering/nemotron-3.5-asr-streaming-0.6b-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- c8c6cf85b945f298878030b928e9447e6f7a5600828ebee0864bb6f722183380
- Size of remote file:
- 407 kB
- SHA256:
- ce3895e40806f02a26c3a225161b96ef682d6c0054bae32a245dec4258d7d291
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.