Instructions to use denbeo/3deaa730-934f-4ba5-baff-7def193cfca3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use denbeo/3deaa730-934f-4ba5-baff-7def193cfca3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "denbeo/3deaa730-934f-4ba5-baff-7def193cfca3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ef3c34af786a62ddf0cc32b6ac84f3a98a6ecf5b509f8d862425bc938e35b9e
- Size of remote file:
- 74 MB
- SHA256:
- d69bc50cac30eaaacf5d507c3023455f2f1bc8998f30dfdf4e93d6a7b676ecb0
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