Automatic Speech Recognition
NeMo
Safetensors
PyTorch
Transformers
English
parakeet_rnnt
feature-extraction
speech
audio
Transducer
FastConformer
Conformer
NeMo
hf-asr-leaderboard
Eval Results (legacy)
Eval Results
Instructions to use nvidia/parakeet-rnnt-1.1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use nvidia/parakeet-rnnt-1.1b with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("nvidia/parakeet-rnnt-1.1b") transcriptions = asr_model.transcribe(["file.wav"]) - Transformers
How to use nvidia/parakeet-rnnt-1.1b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nvidia/parakeet-rnnt-1.1b")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nvidia/parakeet-rnnt-1.1b", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Support translation
#3
by SyedAbdul - opened
Great work. Does it support translation?
Regards.
not yet.
Cant wait to see one this fast that can do translation and timestamps. my entire movie collection would love that.
application to radio and voice decoding software would improve ten fold easily