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-0.6b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use nvidia/parakeet-ctc-0.6b with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("nvidia/parakeet-ctc-0.6b") transcriptions = asr_model.transcribe(["file.wav"]) - Transformers
How to use nvidia/parakeet-ctc-0.6b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nvidia/parakeet-ctc-0.6b")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCTC model = AutoModelForCTC.from_pretrained("nvidia/parakeet-ctc-0.6b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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trfms-integration (#3)
Verified signature- trfs integration (31083d9ebf98f72055597970738f24a6644d90cd) - readme update (1d5178a0d33d436744976db4448f73be16d0bfdf) - readme update (e421a862718ad77e23463222b0644b8086fcf2ef) - readme update (0090acf9edb289ef455a8c284af6325f4608b3f2) - readme update (76d150f3f15da56e290b47660b4e9daaea0e83cb) Co-authored-by: Eustache Le Bihan <eustlb@users.noreply.huggingface.co>ad09ba1