Automatic Speech Recognition
NeMo
Core ML
PyTorch
speech
audio
Transducer
TDT
FastConformer
Conformer
NeMo
hf-asr-leaderboard
Instructions to use codeclawd/parakeet-tdt-0.6b-v3-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use codeclawd/parakeet-tdt-0.6b-v3-coreml with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("codeclawd/parakeet-tdt-0.6b-v3-coreml") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Download MelEncoder.mlmodelc/coremldata.bin from codeclawd/parakeet-tdt-0.6b-v3-coreml: direct link, hf CLI and curl.
- Browser
- Download file 493 Bytes
-
https://huggingface.co/codeclawd/parakeet-tdt-0.6b-v3-coreml/resolve/main/MelEncoder.mlmodelc/coremldata.bin
- Command line
-
hf download hf://codeclawd/parakeet-tdt-0.6b-v3-coreml/MelEncoder.mlmodelc/coremldata.bin
-
curl -L -o coremldata.bin https://huggingface.co/codeclawd/parakeet-tdt-0.6b-v3-coreml/resolve/main/MelEncoder.mlmodelc/coremldata.bin
493 Bytes
- Xet hash:
- 72c6a0d6e3910c0c3c250046da05648e860d3b0c68d5a5df607f5874feec31b7
- Size of remote file:
- 493 Bytes
- SHA256:
- 10da3c056f8381d7447527718dc36e137439fffa4ce154f12b3656e8856bf96a
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