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:
- f7fa907975cb3cbb6f6abae63d7274151451dff026e26582b89d4ce23f100757
- Size of remote file:
- 1.06 kB
- SHA256:
- fa967f990168a530e88ae8b8795df76b2e71d52f0690de47483c7f1210a8359c
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