Instructions to use hr16/PhoWhisper-medium-flax with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hr16/PhoWhisper-medium-flax with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hr16/PhoWhisper-medium-flax")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("hr16/PhoWhisper-medium-flax") model = AutoModelForSpeechSeq2Seq.from_pretrained("hr16/PhoWhisper-medium-flax") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- edac703c8967cb46ade7ff81287f47832f7e67ff6c0312031adacfabe2fbf6b9
- Size of remote file:
- 3.06 GB
- SHA256:
- 1cee4c21c941fa3ce3f40ea947e6660081096a819510ffcdc146337c6956c9d8
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