Instructions to use aleegis12/e48b5424-1e84-4f53-947b-bc571a8410f2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis12/e48b5424-1e84-4f53-947b-bc571a8410f2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-7B-Instruct") model = PeftModel.from_pretrained(base_model, "aleegis12/e48b5424-1e84-4f53-947b-bc571a8410f2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79449c9a8028dea9ca178332afa8b7eecba1b6b9d641eda5cd238d9de72f5319
- Size of remote file:
- 646 MB
- SHA256:
- 400decf966f08cdab040a0e7aeae320c7571b02ae63af9c792d6725797a07787
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