Instructions to use hr16/PhoWhisper-small-vispeech-classifier-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hr16/PhoWhisper-small-vispeech-classifier-v2 with Transformers:
# Load model directly from transformers import AutoProcessor, ViSpeechClassification processor = AutoProcessor.from_pretrained("hr16/PhoWhisper-small-vispeech-classifier-v2") model = ViSpeechClassification.from_pretrained("hr16/PhoWhisper-small-vispeech-classifier-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4d0613d0a5e5802917137dd346b7ab1881d049b268c2414735654de180e3c42c
- Size of remote file:
- 5.18 kB
- SHA256:
- 2a6c8a8d25dc9c01f1952f9d78d4d01af9ff1497abb9123d186923ecd09ccae3
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