Instructions to use aleegis12/c4325af1-d2ce-49a0-8520-32e77cecfcc3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis12/c4325af1-d2ce-49a0-8520-32e77cecfcc3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-Math-1.5B") model = PeftModel.from_pretrained(base_model, "aleegis12/c4325af1-d2ce-49a0-8520-32e77cecfcc3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd848a1554f806ba886394ee7ae75e93bfda08b0506c15106efe7f745faa03f4
- Size of remote file:
- 6.84 kB
- SHA256:
- dc7fb303c0a1a2d940bca108612dc334242f9848f30da4c8baeb7732b6657117
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