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
| { | |
| "model_id": "nvidia/parakeet_realtime_eou_120m-v1", | |
| "model_name": "parakeet_realtime_eou_120m-v1-split", | |
| "streaming_mode": "split_encoder", | |
| "sample_rate": 16000, | |
| "mel_dim": 128, | |
| "hidden_dim": 512, | |
| "num_layers": 17, | |
| "mel_frames_per_chunk": 1005, | |
| "vocab_size": 1026, | |
| "blank_id": 1026, | |
| "decoder_hidden": 640, | |
| "decoder_layers": 1, | |
| "cache_channel_size": 70, | |
| "cache_time_size": 8, | |
| "components": { | |
| "preprocessor": "preprocessor.mlpackage", | |
| "pre_encode": "pre_encode.mlpackage", | |
| "conformer": "conformer_streaming.mlpackage", | |
| "decoder": "decoder.mlpackage", | |
| "joint_decision": "joint_decision.mlpackage" | |
| } | |
| } |