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:
- 845ab11de30b7a884cc6283c65609f04d1d8811b55a2f3d8ee7648b16b45b18a
- Size of remote file:
- 1.06 kB
- SHA256:
- fb0ce41087f0939d63a9a6eb297660d82f62bda022868309a8c97328e5da41a5
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