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:
- 32743531cbcf5817d3b2922173a0249cf67e8869ae16699d031d2e80751191b3
- Size of remote file:
- 17.7 kB
- SHA256:
- a139e07b7ce9abc61ebd59e771108201ddc49a18fa137aa5d70db76be51e4f92
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