Instructions to use hr16/PhoWhisper-tiny-flax with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hr16/PhoWhisper-tiny-flax with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hr16/PhoWhisper-tiny-flax")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("hr16/PhoWhisper-tiny-flax") model = AutoModelForSpeechSeq2Seq.from_pretrained("hr16/PhoWhisper-tiny-flax") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25b7da90389ae2a9ec615df8dca69bf7ccbb038eadf75531f15c5b1e8a6543cd
- Size of remote file:
- 151 MB
- SHA256:
- 154a190dbaa1245afbeadd2e1af81a91ecdf571543aca5148946b10e8723a0ec
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