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
| { | |
| "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 | |
| } | |