Instructions to use dada22231/06c15e0c-cd8d-4f53-9499-3afbf097a8d1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/06c15e0c-cd8d-4f53-9499-3afbf097a8d1 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, "dada22231/06c15e0c-cd8d-4f53-9499-3afbf097a8d1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 68efda829af9d91bf7587a6472ceed0e39ee5c8038c7c51e77249da7c173d07b
- Size of remote file:
- 1.06 kB
- SHA256:
- df19ed1a9610a5422497073697cbf4575f80de47fbb46ef0cdd2779386b031fa
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