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 CollectionStudio/parakeet-rnnt-1.1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use CollectionStudio/parakeet-rnnt-1.1b with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("CollectionStudio/parakeet-rnnt-1.1b") transcriptions = asr_model.transcribe(["file.wav"]) - Transformers
How to use CollectionStudio/parakeet-rnnt-1.1b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="CollectionStudio/parakeet-rnnt-1.1b")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("CollectionStudio/parakeet-rnnt-1.1b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
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