Instructions to use ManasKumar28/my-ast-esc50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ManasKumar28/my-ast-esc50 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="ManasKumar28/my-ast-esc50")# pip install -U transformers accelerate # Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("ManasKumar28/my-ast-esc50") model = AutoModelForAudioClassification.from_pretrained("ManasKumar28/my-ast-esc50", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 297 Bytes
7dcc877 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"do_normalize": true,
"feature_extractor_type": "ASTFeatureExtractor",
"feature_size": 1,
"max_length": 1024,
"mean": -4.2677393,
"num_mel_bins": 128,
"padding_side": "right",
"padding_value": 0.0,
"return_attention_mask": false,
"sampling_rate": 16000,
"std": 4.5689974
}
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