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
docs(readme): add NIM Try via API (Nemotron ASR Streaming)
#16
by Amargolin - opened
Adds hosted build.nvidia.com / Riva gRPC instructions aligned with parakeet-tdt-0.6b-v2.
Thank you, LGTM!
kunaldhawan changed pull request status to merged