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:
- ce4acb2751189c418e4cee31edbfc3807ae6482d2c257faa24e44a9b852a7f44
- Size of remote file:
- 73.9 MB
- SHA256:
- 93f9ba0484f527c97554766a260c69b8efa7f79ed5f8799367a4615117c6ea66
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