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/coremldata.bin from codeclawd/parakeet-tdt-0.6b-v3-coreml: direct link, hf CLI and curl.
- Browser
- Download file 554 Bytes
-
https://huggingface.co/codeclawd/parakeet-tdt-0.6b-v3-coreml/resolve/main/Decoder.mlmodelc/coremldata.bin
- Command line
-
hf download hf://codeclawd/parakeet-tdt-0.6b-v3-coreml/Decoder.mlmodelc/coremldata.bin
-
curl -L -o coremldata.bin https://huggingface.co/codeclawd/parakeet-tdt-0.6b-v3-coreml/resolve/main/Decoder.mlmodelc/coremldata.bin
554 Bytes
- Xet hash:
- 0c67825311bce4f4a7b94b9cba5267332b66400572d98474e3718b9000601ffa
- Size of remote file:
- 554 Bytes
- SHA256:
- 18647af085d87bd8f3121c8a9b4d4564c1ede038dab63d295b4e745cf2d7fb99
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