Instructions to use thaffggg/8a0b9068-e316-4c03-89fe-67df30cc8003 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thaffggg/8a0b9068-e316-4c03-89fe-67df30cc8003 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-3B-Instruct") model = PeftModel.from_pretrained(base_model, "thaffggg/8a0b9068-e316-4c03-89fe-67df30cc8003") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 51f10e5a21fab6e159765c7f673930ec2ac059dc17b0e5acba069bffb82c77ac
- Size of remote file:
- 60 MB
- SHA256:
- 5348693b40cd8ac7c7458217568589ef7255415ac528f21349831be23da04292
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