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 mlpackages/Encoder.mlpackage/Data/com.apple.CoreML/model.mlmodel from codeclawd/parakeet-tdt-0.6b-v3-coreml: direct link, hf CLI and curl.
- Browser
- Download file 662 kB
-
https://huggingface.co/codeclawd/parakeet-tdt-0.6b-v3-coreml/resolve/main/mlpackages/Encoder.mlpackage/Data/com.apple.CoreML/model.mlmodel
- Command line
-
hf download hf://codeclawd/parakeet-tdt-0.6b-v3-coreml/mlpackages/Encoder.mlpackage/Data/com.apple.CoreML/model.mlmodel
-
curl -L -o model.mlmodel https://huggingface.co/codeclawd/parakeet-tdt-0.6b-v3-coreml/resolve/main/mlpackages/Encoder.mlpackage/Data/com.apple.CoreML/model.mlmodel
662 kB
- Xet hash:
- 790d400639c71382da674e50567319a9bced6c02a62580c35d16bf2f186fa215
- Size of remote file:
- 662 kB
- SHA256:
- cfec08b0fb04d25f7f61203e02571091e53d22fc85c47c5cc9699019d2ab0d2a
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