Instructions to use Pablex/whisper_tiny_fleurs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pablex/whisper_tiny_fleurs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Pablex/whisper_tiny_fleurs")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Pablex/whisper_tiny_fleurs") model = AutoModelForAudioClassification.from_pretrained("Pablex/whisper_tiny_fleurs") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb112347a9deccfda08ee6a839bcde207e9f9c0a27eaa4fa66f7b09b7f3f95f7
- Size of remote file:
- 6.58 kB
- SHA256:
- 4d566fac76da7fb859baeaf61ee3c2f57615bb2b121803226da14e46758d3d80
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