Instructions to use antimage88/aeccc875-af63-4eee-b5d1-35b171b49f36 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use antimage88/aeccc875-af63-4eee-b5d1-35b171b49f36 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "antimage88/aeccc875-af63-4eee-b5d1-35b171b49f36") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9276f7f65f343bd4a0c098d33cdf7c5c6ab18c6029685bc131dbf359ef4f8ef5
- Size of remote file:
- 296 MB
- SHA256:
- 7fa11665493202232f85ddbe0885edb728ea2c34a47fdbd56250e24be6981440
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