Automatic Speech Recognition
NeMo
Core ML
English
speech-recognition
FastConformer
end-of-utterance
voice agent
Instructions to use FluidInference/parakeet-realtime-eou-120m-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use FluidInference/parakeet-realtime-eou-120m-coreml with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("FluidInference/parakeet-realtime-eou-120m-coreml") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Download 320ms/decoder.mlmodelc/coremldata.bin from FluidInference/parakeet-realtime-eou-120m-coreml: direct link, hf CLI and curl.
- Browser
- Download file 497 Bytes
-
https://huggingface.co/FluidInference/parakeet-realtime-eou-120m-coreml/resolve/main/320ms/decoder.mlmodelc/coremldata.bin
- Command line
-
hf download hf://FluidInference/parakeet-realtime-eou-120m-coreml/320ms/decoder.mlmodelc/coremldata.bin
-
curl -L -o coremldata.bin https://huggingface.co/FluidInference/parakeet-realtime-eou-120m-coreml/resolve/main/320ms/decoder.mlmodelc/coremldata.bin
497 Bytes
- Xet hash:
- beefa3545bf5136a8f62177c872187043c517d7d4db204d8a02e90f702a916c9
- Size of remote file:
- 497 Bytes
- SHA256:
- c3ccbff963d8cf07e2be2bd56ea3384a89ea49628922c6bd95ff62e2ae57dc34
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