Instructions to use Janiopi/detector_de_instrumentos_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Janiopi/detector_de_instrumentos_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Janiopi/detector_de_instrumentos_v1")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Janiopi/detector_de_instrumentos_v1") model = AutoModelForAudioClassification.from_pretrained("Janiopi/detector_de_instrumentos_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 914089a5ccc83acd9e72cd2b0f56cdcee0347b4cb8127a66faa363f94c703499
- Size of remote file:
- 378 MB
- SHA256:
- 7a85f1fb56344d48aed3d66f150bd2bbe4c26c28895a70f5ec83496c7529412a
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