Instructions to use Aynursusuz/music_speech_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aynursusuz/music_speech_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Aynursusuz/music_speech_classification")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Aynursusuz/music_speech_classification") model = AutoModelForAudioClassification.from_pretrained("Aynursusuz/music_speech_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 78d14da18e5e2c58294eb8226f991e7b4fa91fe0f03e923bc02e17535ffc50bd
- Size of remote file:
- 5.97 kB
- SHA256:
- b20772db450282b477a97e4998d3ff8cde60cd2d7ebd2f5ca2e0cec85d0f52f4
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