Audio Classification
Transformers
Safetensors
smad_crnn
feature-extraction
audio
music
speech
custom-code
custom_code
Instructions to use duclvQ/smad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use duclvQ/smad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="duclvQ/smad", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("duclvQ/smad", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 286 Bytes
64ef8a3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"auto_map": {
"AutoFeatureExtractor": "feature_extraction_smad.SmadFeatureExtractor"
},
"feature_extractor_type": "SmadFeatureExtractor",
"feature_size": 80,
"hop_length": 160,
"n_fft": 400,
"padding_value": 0.0,
"sampling_rate": 16000,
"segment_seconds": 4.0
}
|