Automatic Speech Recognition
NeMo
Core ML
PyTorch
English
speech
audio
Transducer
TDT
FastConformer
Conformer
NeMo
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use FluidInference/parakeet-ctc-110m-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use FluidInference/parakeet-ctc-110m-coreml with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("FluidInference/parakeet-ctc-110m-coreml") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
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Move AudioEncoder.mlmodelc, MelSpectrogram.mlmodelc, and vocab.json from parakeet-ctc-110m-coreml/ subdirectory to repo root. Remove everything not needed by the Swift FluidAudio library: - TDT model copies (parakeet-tdt-0.6b-v2-coreml/, parakeet-tdt-v2-0.6b/) - Conversion scripts (convert/, parakeet-tdt-ctc-110m/, scripts/) - CLI benchmarks (cli/) — already in FluidAudio repo - Duplicate model copies (models/) - Python artifacts (pyproject.toml, uv.lock) - HuggingFace tokenizer files (tokenizer.json, tokenizer.model, etc.) - .DS_Store files Matches the clean flat structure of parakeet-ctc-0.6b-coreml.8036e60
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