Instructions to use FatCat87/ae74bd29-2d32-4868-9311-ee44975ef3d6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use FatCat87/ae74bd29-2d32-4868-9311-ee44975ef3d6 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-Math-1.5B") model = PeftModel.from_pretrained(base_model, "FatCat87/ae74bd29-2d32-4868-9311-ee44975ef3d6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 41139fef633fb5802272d1b33628f3b71c3be4ae609746028819640cbdab2506
- Size of remote file:
- 148 MB
- SHA256:
- e57d9464d7e3bbfce614b73f80b2c810f7f8badc31daf2543d668f3f23147a2f
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