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 tokenizer.model from FluidInference/parakeet-realtime-eou-120m-coreml: direct link, hf CLI and curl.
- Browser
- Download file 258 kB
-
https://huggingface.co/FluidInference/parakeet-realtime-eou-120m-coreml/resolve/main/tokenizer.model
- Command line
-
hf download hf://FluidInference/parakeet-realtime-eou-120m-coreml/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/FluidInference/parakeet-realtime-eou-120m-coreml/resolve/main/tokenizer.model
258 kB
- Xet hash:
- 20ed76cab28ad54794e090d26d19b6d0551a9a8eb055d2827d1bb5bacc7d5757
- Size of remote file:
- 258 kB
- SHA256:
- d556e51ba5b89db64a8cb2be6798fb29974edcadb58b0c7b80418eb5d8752303
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