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:
- 47216904d63d96d0b4cd9a93b1a55f75263ea75f1d39db2b62f766a9ebcf62ce
- Size of remote file:
- 14.6 kB
- SHA256:
- 9f39041d7c88d2860c2f85f64f19c797d2c674c05ba74004cf9743a32559628b
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