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:
- 77234d4c62ceb251d79ef36fcea92f512e0ded08174f23329f71f9b815d0632e
- Size of remote file:
- 17.7 kB
- SHA256:
- 2fd77c97470cfb03d03d77dbf1c8ff41ea4d1427b3a66d4c9e420f4ef5a40804
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