Instructions to use SalmonAI123/whisper-small-vi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SalmonAI123/whisper-small-vi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="SalmonAI123/whisper-small-vi")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("SalmonAI123/whisper-small-vi") model = AutoModelForSpeechSeq2Seq.from_pretrained("SalmonAI123/whisper-small-vi") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eed80ffabb7f7c304f1fc3eb7a60b7e9a367c4c7a9f132c3479cfcc7426bb86d
- Size of remote file:
- 5.91 kB
- SHA256:
- 6e6b9b34b40eaadd7686b318802e7ad081dfc8a989a0797eb08401f14c34393e
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