Automatic Speech Recognition
NeMo
Core ML
PyTorch
speech
audio
Transducer
TDT
FastConformer
Conformer
NeMo
hf-asr-leaderboard
Instructions to use FluidInference/parakeet-tdt-0.6b-v3-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use FluidInference/parakeet-tdt-0.6b-v3-coreml with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("FluidInference/parakeet-tdt-0.6b-v3-coreml") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Decoder.mlmodelc
- Encoder.mlmodelc
- EncoderInt4.mlmodelc
- JointDecision.mlmodelc
- JointDecisionv2.mlmodelc
- JointDecisionv3.mlmodelc
- JointDecisionv3.mlpackage
- MelEncoder.mlmodelc
- Melspectrogram_15s.mlmodelc
- ParakeetDecoder.mlmodelc
- ParakeetEncoder_15s.mlmodelc
- Preprocessor.mlmodelc
- RNNTJoint.mlmodelc
- mlpackages
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