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:
- 808ead09cfee1d8a2f03631602adc05a36775d7b3348db9946a3d6be30bbc99c
- Size of remote file:
- 967 MB
- SHA256:
- e2133860848654959c2d82402b7cfeff4f98aa9a2a4c9e220706abdb5595a623
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