Automatic Speech Recognition
NeMo
Safetensors
GGUF
Transformers
PyTorch
nemotron_asr_streaming
feature-extraction
speech-recognition
cache-aware ASR
streaming-asr
speech
audio
FastConformer
RNNT
Parakeet
ASR
NeMo
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use nvidia/nemotron-speech-streaming-en-0.6b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use nvidia/nemotron-speech-streaming-en-0.6b with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("nvidia/nemotron-speech-streaming-en-0.6b") transcriptions = asr_model.transcribe(["file.wav"]) - Transformers
How to use nvidia/nemotron-speech-streaming-en-0.6b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nvidia/nemotron-speech-streaming-en-0.6b")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("nvidia/nemotron-speech-streaming-en-0.6b") model = AutoModel.from_pretrained("nvidia/nemotron-speech-streaming-en-0.6b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
MLX version planned?
#3
by Amit-I - opened
Would love to see this run on mac and see how it compares to Parakeet, any MLX versions planned?
Hi @Amit-I , the community has done some great work in creating an MLX version of this model: https://huggingface.co/animaslabs/nemotron-speech-streaming-en-0.6b-mlx
Thanks for pointing that out, @droyster ! You’re right, I haven’t yet tried or validated the MLX version. I was sharing some community activity I came across and should have added a disclaimer to clarify that.