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:
- 406194723d2be409a9cbae73ede007543e1eab87ce74541ba7b2e1f165e48111
- Size of remote file:
- 265 MB
- SHA256:
- ad2e80048488714a1013aac5bd27374fe19728fe4a185bd0c1246542f83859bb
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