Automatic Speech Recognition
NeMo
Core ML
PyTorch
English
speech
audio
Transducer
TDT
FastConformer
Conformer
NeMo
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use aoiandroid/parakeet-ctc-110m-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use aoiandroid/parakeet-ctc-110m-coreml with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("aoiandroid/parakeet-ctc-110m-coreml") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Download AudioEncoder.mlmodelc/coremldata.bin from aoiandroid/parakeet-ctc-110m-coreml: direct link, hf CLI and curl.
- Browser
- Download file 505 Bytes
-
https://huggingface.co/aoiandroid/parakeet-ctc-110m-coreml/resolve/main/AudioEncoder.mlmodelc/coremldata.bin
- Command line
-
hf download hf://aoiandroid/parakeet-ctc-110m-coreml/AudioEncoder.mlmodelc/coremldata.bin
-
curl -L -o coremldata.bin https://huggingface.co/aoiandroid/parakeet-ctc-110m-coreml/resolve/main/AudioEncoder.mlmodelc/coremldata.bin
505 Bytes
- Xet hash:
- 533bf00701be712cf5d771af4c47ffc70d2ebe690a1aa60942e4741c6553eb34
- Size of remote file:
- 505 Bytes
- SHA256:
- a88b002b58193b4c31211754cdfdf220a85f9651dc61caf336ab84400cbc191a
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