Instructions to use Ammok/my_audio_model01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ammok/my_audio_model01 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Ammok/my_audio_model01")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Ammok/my_audio_model01") model = AutoModelForAudioClassification.from_pretrained("Ammok/my_audio_model01", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 657ef4461be0b26fed735c91731798840184a2b24763dea5f0185a670e9b114b
- Size of remote file:
- 3.96 kB
- SHA256:
- b7a5dd5b988a5be0fb95c08938db0c128a8295d2c5d407aa836f0366d22d66dd
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