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-0.6b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use nvidia/parakeet-rnnt-0.6b with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("nvidia/parakeet-rnnt-0.6b") transcriptions = asr_model.transcribe(["file.wav"]) - Transformers
How to use nvidia/parakeet-rnnt-0.6b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nvidia/parakeet-rnnt-0.6b")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nvidia/parakeet-rnnt-0.6b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add 🤗 Transformers support (#4)
- Add 🤗 Transformers support (42852c2708fa0a11264f2871f977704f8212e94b) - Upload processor (bfe50a3c0ca9db16df49a277821a090a3be9c0f6) - Upload ParakeetForRNNT (22e1f6ef18fa6d2c5edb290dd84e2ea1638832a0) - readme update (dfbbd77cded08b49a31a120b048580302fa19d86) - readme update (8326860f6e13bffc004f545631b93973e6281f1b) - Remove loss_reduction from config (426260cc047122a29e6278ff3a34c9db74a7c44c) Co-authored-by: Eustache Le Bihan <eustlb@users.noreply.huggingface.co>f88ebc5