Instructions to use hyperion-shuo/whisper-small-dv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hyperion-shuo/whisper-small-dv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hyperion-shuo/whisper-small-dv")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("hyperion-shuo/whisper-small-dv") model = AutoModelForSpeechSeq2Seq.from_pretrained("hyperion-shuo/whisper-small-dv") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c46f5a5d82e83faae7c5d45eed8fc64ba76586294cf3ebd39486f670c9d5aa72
- Size of remote file:
- 4.21 kB
- SHA256:
- 224c84caf588ea4d0200d21f1052ffdddb6dc45d0d14033ea1cca8f8e24bd1c2
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