Instructions to use saurabhati/DASS_medium_AudioSet_50.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saurabhati/DASS_medium_AudioSet_50.2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="saurabhati/DASS_medium_AudioSet_50.2", trust_remote_code=True)# Load model directly from transformers import AutoModelForAudioClassification model = AutoModelForAudioClassification.from_pretrained("saurabhati/DASS_medium_AudioSet_50.2", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 394 Bytes
5a5f95c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"auto_map": {
"AutoFeatureExtractor": "feature_extraction_dass.DASSFeatureExtractor"
},
"do_normalize": true,
"feature_extractor_type": "DASSFeatureExtractor",
"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
}
|