Instructions to use dada22231/2a53ab2b-5120-4635-bb3e-38af15f22f4f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/2a53ab2b-5120-4635-bb3e-38af15f22f4f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-1.5B") model = PeftModel.from_pretrained(base_model, "dada22231/2a53ab2b-5120-4635-bb3e-38af15f22f4f") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e2d2c7d1ec069d8f67e3440cdc3f18518c1ce9470cdabe88929a77b7726980f
- Size of remote file:
- 15 kB
- SHA256:
- 2a3a74a11a743f5cdd2e4378206dd18b147a872fd58f61dec22a5d7d604cad25
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