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:
- cee89942ccfd343fdf7101d4aa088ad29078ee4971ae66464dfa016befdece41
- Size of remote file:
- 6.78 kB
- SHA256:
- 66e755237e1568d22ba229245e75815bafb1345cc27579665bace27c78eca4fb
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