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")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nvidia/parakeet-rnnt-0.6b", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add ๐ค Transformers support
#4
by eustlb HF Staff - opened
Adds Transformers-compatible files (config.json, generation_config.json, model.safetensors, processor_config.json, tokenizer.json, tokenizer_config.json) and updates the model card with a Transformers usage section, alongside the existing NeMo checkpoint.
Converted from the official parakeet-rnnt-0.6b.nemo.
kunaldhawan changed pull request status to merged