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/analytics/coremldata.bin from FluidInference/parakeet-realtime-eou-120m-coreml: direct link, hf CLI and curl.
- Browser
- Download file 243 Bytes
-
https://huggingface.co/FluidInference/parakeet-realtime-eou-120m-coreml/resolve/main/320ms/decoder.mlmodelc/analytics/coremldata.bin
- Command line
-
hf download hf://FluidInference/parakeet-realtime-eou-120m-coreml/320ms/decoder.mlmodelc/analytics/coremldata.bin
-
curl -L -o coremldata.bin https://huggingface.co/FluidInference/parakeet-realtime-eou-120m-coreml/resolve/main/320ms/decoder.mlmodelc/analytics/coremldata.bin
243 Bytes
- Xet hash:
- 337ba28940c15c2952c76188ee06af8d20764981d5a31eb5d22ced7f7315d26a
- Size of remote file:
- 243 Bytes
- SHA256:
- 3996975a8cbc1949159c55605b3132b39b2484f51acbd55d796d93c70de02b49
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