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:
- c7cf0382b66d2859719dd299e0c058996a836e2a3d02d18cddba1a9c2cfcd3b3
- Size of remote file:
- 479 MB
- SHA256:
- 644dde12a44b895025e345f32c1436b84f8dde7b1923f5358926482ee53551b1
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