Audio Classification
Transformers
Safetensors
audio-spectrogram-transformer
Generated from Trainer
Eval Results (legacy)
Instructions to use Vladimirlv/ast-finetuned-audioset-10-10-0.4593-heart-sounds with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vladimirlv/ast-finetuned-audioset-10-10-0.4593-heart-sounds with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Vladimirlv/ast-finetuned-audioset-10-10-0.4593-heart-sounds")# Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("Vladimirlv/ast-finetuned-audioset-10-10-0.4593-heart-sounds") model = AutoModelForAudioClassification.from_pretrained("Vladimirlv/ast-finetuned-audioset-10-10-0.4593-heart-sounds") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0da3f51242cdfe6e26b21931f95d70ab75730de94bc07ad7aae496363c65bd5a
- Size of remote file:
- 345 MB
- SHA256:
- 107f370a6ebbd1154ef5323c539ca1d85f7b0dce0c4d6b372bf421bb9630a489
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