Instructions to use souging/add7f096-d348-4c79-a95c-97acc08b57dd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use souging/add7f096-d348-4c79-a95c-97acc08b57dd 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, "souging/add7f096-d348-4c79-a95c-97acc08b57dd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2beff9cb1ab4edcb0a3edcac9fdcb9c4fb055b218027ff8a5e0483d13f32b30e
- Size of remote file:
- 6.26 kB
- SHA256:
- 75ed5ab3389bc8414e7d287e903a1228ac27f1546beb00134157643acd5851f1
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