Instructions to use aleegis/eebf1043-16a4-403c-80a7-280ffa42cbd3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis/eebf1043-16a4-403c-80a7-280ffa42cbd3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-4B-Base") model = PeftModel.from_pretrained(base_model, "aleegis/eebf1043-16a4-403c-80a7-280ffa42cbd3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b9547472a073fe7a060e37ce5705ab7c9190054207540fdd7c616b4d8264ae8
- Size of remote file:
- 14.2 kB
- SHA256:
- 2de36b4e01eb1249ae808d93ddc0cab7a02fec160ce612b5ca00c8162a50b107
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