Instructions to use kromcomp/L3.1-Aura-r32-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kromcomp/L3.1-Aura-r32-LoRA with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kromcomp/L3.1-Aura-r32-LoRA", dtype="auto") - PEFT
How to use kromcomp/L3.1-Aura-r32-LoRA with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d948e964a052c6cb9b920bf64848bcf222e6810cc0480fea81067070cb484bab
- Size of remote file:
- 185 MB
- SHA256:
- a34b44d6fc2abdf68dd0c49eda458af003d82c385bd5f4c77d2606a3a2895feb
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