Audio Classification
Transformers
Safetensors
audio-spectrogram-transformer
audio
ast
cremad
emotion-recognition
Instructions to use Adam-ousse/ast-cremad-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Adam-ousse/ast-cremad-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Adam-ousse/ast-cremad-finetuned")# Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("Adam-ousse/ast-cremad-finetuned") model = AutoModelForAudioClassification.from_pretrained("Adam-ousse/ast-cremad-finetuned") - Notebooks
- Google Colab
- Kaggle
| { | |
| "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 | |
| } | |