Instructions to use vinai/PhoWhisper-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vinai/PhoWhisper-medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="vinai/PhoWhisper-medium")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("vinai/PhoWhisper-medium") model = AutoModelForSpeechSeq2Seq.from_pretrained("vinai/PhoWhisper-medium", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd7b0eb2f27205ebd298c1631235423df76581a52dc8ac63805a9ed48d1fcf8b
- Size of remote file:
- 3.06 GB
- SHA256:
- 699b8650035692ceb72db1d24c2879654e1cf9fa2d422a3bb14ac990b5141c59
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