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
Update README.md
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README.md
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- voxpopuli
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- europarl
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- multilingual_librispeech
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thumbnail: null
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tags:
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- automatic-speech-recognition
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- name: Test WER
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type: wer
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value: 6.91
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metrics:
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- wer
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pipeline_tag: automatic-speech-recognition
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---
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# Parakeet-TDT-CTC-110M CoreML
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## Acknowledgments
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- Original model by [NVIDIA NeMo](https://github.com/NVIDIA/NeMo)
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- CoreML conversion by [FluidInference](https://github.com/FluidInference)
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- voxpopuli
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- europarl
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- multilingual_librispeech
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thumbnail: null
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tags:
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- automatic-speech-recognition
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- name: Test WER
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type: wer
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value: 6.91
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metrics:
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- wer
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pipeline_tag: automatic-speech-recognition
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base_model:
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- nvidia/parakeet-tdt_ctc-110m
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---
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# Parakeet-TDT-CTC-110M CoreML
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## Acknowledgments
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- Original model by [NVIDIA NeMo](https://github.com/NVIDIA/NeMo)
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- CoreML conversion by [FluidInference](https://github.com/FluidInference)
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