Transformers
Safetensors
heartmula
music-generation
4bit
quantized
bitsandbytes
nf4
comfyui
4-bit precision
Instructions to use PavonicAI/HeartMuLa-3B-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PavonicAI/HeartMuLa-3B-4bit with Transformers:
# Load model directly from transformers import HeartMuLa model = HeartMuLa.from_pretrained("PavonicAI/HeartMuLa-3B-4bit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 45f3f52a28ceffedf2e841b3b477a3732a825a73a933bd708e57b4f74c6d5ac8
- Size of remote file:
- 7.21 MB
- SHA256:
- 9eeef7091420c38ce6ba615387a7efadd3d0ab3530ac8ae34d31c76a913a5b8f
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