Automatic Speech Recognition
NeMo
PyTorch
English
speech
audio
Transducer
TDT
FastConformer
Conformer
NeMo
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use Akul/parakeet-tdt_ctc-100m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use Akul/parakeet-tdt_ctc-100m with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("Akul/parakeet-tdt_ctc-100m") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e4d1f55474c47791b21ae0617cb868927203238df7a40c3238f8ef74c6014a74
- Size of remote file:
- 459 MB
- SHA256:
- 1e6b5c3bcaa390b479bd8112512ede515d2ef5b61495568f2c266d6d5e680c3a
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