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
Upload __init__.py with huggingface_hub
Browse files- __init__.py +6 -0
__init__.py
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from .configuration_apex import APEXConfig
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from .modeling_apex import APEXModel
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from transformers import AutoConfig, AutoModel
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AutoConfig.register("apex", APEXConfig)
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AutoModel.register(APEXConfig, APEXModel)
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