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:
- e8ba5425f0e2ce0b3cc9f07d0174552b96469761192feec29312a2945fae6b2d
- Size of remote file:
- 6.84 kB
- SHA256:
- 7880625da8b3de233f388d1f332804a905e03ca6bc2ee532c855191cfe9089b2
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