Audio Classification
Transformers
Safetensors
English
audio-spectrogram-transformer
emotion-classification
audio-spectrogram
transformer
fine-tuned
Instructions to use forwarder1121/ast-finetuned-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use forwarder1121/ast-finetuned-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="forwarder1121/ast-finetuned-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("forwarder1121/ast-finetuned-model") model = AutoModelForAudioClassification.from_pretrained("forwarder1121/ast-finetuned-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 297 Bytes
7a8f73b | 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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