Instructions to use ar3xop/arcane-33b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ar3xop/arcane-33b-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("./vicuna-33B") model = PeftModel.from_pretrained(base_model, "ar3xop/arcane-33b-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 633dc2ca866cc30243e0ecba33eb2d913adad391178b3fcbd82e0d068896773e
- Size of remote file:
- 17.7 kB
- SHA256:
- a2009a29b4af238eb6c4c5f8cfa530210c85806360ee68d349212e41ab5c949f
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