Instructions to use abaddon182/7966716c-87cc-4043-bb7f-61124d2328ea with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use abaddon182/7966716c-87cc-4043-bb7f-61124d2328ea 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, "abaddon182/7966716c-87cc-4043-bb7f-61124d2328ea") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 498cc2e8d7b70407ef04812db49c0cae7883a62065582a2ceb437c5f6887b174
- Size of remote file:
- 296 MB
- SHA256:
- a7a08211d2cf1127b871d210bf77419e344d8fef46d7e0b26932fea4e317f2b1
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