Instructions to use 1-lock/2828f76a-ebcb-454f-a481-ac9c8ecf27ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/2828f76a-ebcb-454f-a481-ac9c8ecf27ca with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-Math-7B-Instruct") model = PeftModel.from_pretrained(base_model, "1-lock/2828f76a-ebcb-454f-a481-ac9c8ecf27ca") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2abcef906c140287eb2bae3db29860e3dcac04a4e6a3f08ecba117a72dcef25a
- Size of remote file:
- 6.84 kB
- SHA256:
- d08d1509102caeabc6fd030c20feb08408bf31f8a8ef032a086cdc40429accb7
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