Feature Extraction
Transformers
Safetensors
mert2
audio
music
music-understanding
representation-learning
custom_code
Instructions to use Supbatomic/MERT-v2-30s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Supbatomic/MERT-v2-30s with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Supbatomic/MERT-v2-30s", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Supbatomic/MERT-v2-30s", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 215 Bytes
370c08d | 1 2 3 4 5 6 7 8 9 10 | {
"feature_extractor_type": "Wav2Vec2FeatureExtractor",
"feature_size": 1,
"sampling_rate": 24000,
"padding_value": 0.0,
"padding_side": "right",
"return_attention_mask": true,
"do_normalize": false
}
|