Feature Extraction
Transformers
PyTorch
English
apex
music
audio
popularity-prediction
aesthetic-quality
multi-task-learning
mert
ai-generated-music
suno
udio
custom_code
Instructions to use amaai-lab/apex with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amaai-lab/apex with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="amaai-lab/apex", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("amaai-lab/apex", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 4d542391b87d530ca7cde279f6c2eba6391ef00439d5ab5a78911d45d3df59a9
- Size of remote file:
- 388 kB
- SHA256:
- be45efcb816bf614d5ad205bceeb880bfdc6a0661d99feec5e025ede51ddaced
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