Instructions to use marialvsantiago/b16759ec-38f7-4f46-8435-9471e60968b8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use marialvsantiago/b16759ec-38f7-4f46-8435-9471e60968b8 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "marialvsantiago/b16759ec-38f7-4f46-8435-9471e60968b8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a352fe74f8091ba09f2d94943c1f1125092248020f4fcb59ce2f1261049dad7
- Size of remote file:
- 73.9 MB
- SHA256:
- ef1ca1ff1e072ffec967a54769a8c1850aa3c5d1980352f8308959b2e4fd9ae6
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