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 Decoder.mlmodelc/weights/weight.bin from codeclawd/parakeet-tdt-0.6b-v3-coreml: direct link, hf CLI and curl.
- Browser
- Download file 23.6 MB
-
https://huggingface.co/codeclawd/parakeet-tdt-0.6b-v3-coreml/resolve/main/Decoder.mlmodelc/weights/weight.bin
- Command line
-
hf download hf://codeclawd/parakeet-tdt-0.6b-v3-coreml/Decoder.mlmodelc/weights/weight.bin
-
curl -L -o weight.bin https://huggingface.co/codeclawd/parakeet-tdt-0.6b-v3-coreml/resolve/main/Decoder.mlmodelc/weights/weight.bin
23.6 MB
- Xet hash:
- a8a65197a6414094ad5bc884441f6d9d964ee579fb6cc358aa09331bd5a74c30
- Size of remote file:
- 23.6 MB
- SHA256:
- 48adf0f0d47c406c8253d4f7fef967436a39da14f5a65e66d5a4b407be355d41
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