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:
- 0a279f51b71d267f2370507081635b5a938c6c01ecda4137d559a56e40ccff7b
- Size of remote file:
- 646 MB
- SHA256:
- 932ae9c03c185517f0b7d55656abe0df0f26cf2f5add437d4ba491297e2c02f2
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