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:
- 366995e49495160fb88b55c0e11186342e82f53fa399001f2f7a2a84dd46267b
- Size of remote file:
- 1.06 kB
- SHA256:
- fe1d153de177b356f9e3a70d6e4ec979560b0c300994e71ca4cb89afc74c5b3a
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