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 Encoder.mlmodelc/analytics/coremldata.bin from codeclawd/parakeet-tdt-0.6b-v3-coreml: direct link, hf CLI and curl.
- Browser
- Download file 243 Bytes
-
https://huggingface.co/codeclawd/parakeet-tdt-0.6b-v3-coreml/resolve/main/Encoder.mlmodelc/analytics/coremldata.bin
- Command line
-
hf download hf://codeclawd/parakeet-tdt-0.6b-v3-coreml/Encoder.mlmodelc/analytics/coremldata.bin
-
curl -L -o coremldata.bin https://huggingface.co/codeclawd/parakeet-tdt-0.6b-v3-coreml/resolve/main/Encoder.mlmodelc/analytics/coremldata.bin
243 Bytes
- Xet hash:
- 5f29ece1a99e1c87d629d5c9c8f711e70566a44a093aeb3f5b7a64380b8ac93e
- Size of remote file:
- 243 Bytes
- SHA256:
- 42e638870d73f26b332918a3496ce36793fbb413a81cbd3d16ba01328637a105
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