Instructions to use laquythang/f85d38b4-0820-4f1d-9c2d-9c42722ab805 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use laquythang/f85d38b4-0820-4f1d-9c2d-9c42722ab805 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, "laquythang/f85d38b4-0820-4f1d-9c2d-9c42722ab805") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e96dd4ae1d2df772ea3bbc942468b6f624624d437352f82360c528a3910b730
- Size of remote file:
- 11.4 MB
- SHA256:
- fab42efe8d17406525a9154b728cf9e957629a8ed7ce997770efdd71128c6a1a
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