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/Decoder.mlpackage/Data/com.apple.CoreML/model.mlmodel from codeclawd/parakeet-tdt-0.6b-v3-coreml: direct link, hf CLI and curl.
- Browser
- Download file 11.7 kB
-
https://huggingface.co/codeclawd/parakeet-tdt-0.6b-v3-coreml/resolve/main/mlpackages/Decoder.mlpackage/Data/com.apple.CoreML/model.mlmodel
- Command line
-
hf download hf://codeclawd/parakeet-tdt-0.6b-v3-coreml/mlpackages/Decoder.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/Decoder.mlpackage/Data/com.apple.CoreML/model.mlmodel
11.7 kB
- Xet hash:
- 3da567df3094020bfc1c0ed643f3021e3a37271604ca0bda2f7347b08e1e74f0
- Size of remote file:
- 11.7 kB
- SHA256:
- 8bfdcef9fb1b46a1ec2f3c1895c74ed90644a69105efda370e412a522bd5b353
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