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 config.json
Browse files- config.json +1 -1
config.json
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"eos_token_id": 2,
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"nemo_model_type": "parakeet",
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"pad_token_id": 0,
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"vocab_size": 1024
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}
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"eos_token_id": 2,
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"nemo_model_type": "parakeet",
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"pad_token_id": 0,
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"vocab_size": 1024
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}
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