Automatic Speech Recognition
NeMo
Safetensors
Transformers
PyTorch
English
parakeet_ctc
speech
audio
FastConformer
Conformer
NeMo
hf-asr-leaderboard
ctc
Eval Results (legacy)
Eval Results
Instructions to use nvidia/parakeet-ctc-1.1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use nvidia/parakeet-ctc-1.1b with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("nvidia/parakeet-ctc-1.1b") transcriptions = asr_model.transcribe(["file.wav"]) - Transformers
How to use nvidia/parakeet-ctc-1.1b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nvidia/parakeet-ctc-1.1b")# Load model directly from transformers import AutoModelForCTC model = AutoModelForCTC.from_pretrained("nvidia/parakeet-ctc-1.1b", dtype="auto") - Notebooks
- Google Colab
- Kaggle
trfms-integration
#2
by eustlb HF Staff - opened
No description provided.
eustlb changed pull request status to open
Review not working perfectly,
Could you move usage with transformers under How to use this Model section and below https://huggingface.co/nvidia/parakeet-ctc-1.1b#transcribing-using-python (this can be renamed to transcribing using NeMo) and then we can have a section for using with transformers
Thanks @eustlb
nithinraok changed pull request status to merged