Instructions to use aleegis/98a0f151-4347-4153-abc8-37a1e651e24c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis/98a0f151-4347-4153-abc8-37a1e651e24c 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, "aleegis/98a0f151-4347-4153-abc8-37a1e651e24c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 29dccd199128ad3faceac74865a3c790ca4e1bd45403585ce7319c4e381f3bba
- Size of remote file:
- 7.44 kB
- SHA256:
- a5d7e516c49025de490396beb2f4c209477ad4fe1fdf97fe848f48008c74d9af
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