Instructions to use laquythang/2828f76a-ebcb-454f-a481-ac9c8ecf27ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use laquythang/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, "laquythang/2828f76a-ebcb-454f-a481-ac9c8ecf27ca") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c1a96ee1a830e84f9245908781741ce33075a4f97528a5c9b232f340e1b0369f
- Size of remote file:
- 6.78 kB
- SHA256:
- 968a0fc96893dad02075af3f1724d31d8eeec8176804afc798c24d27c667c5f6
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