Instructions to use aleegis12/836056d3-e11c-453f-9fd2-83b83a1307cb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis12/836056d3-e11c-453f-9fd2-83b83a1307cb 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, "aleegis12/836056d3-e11c-453f-9fd2-83b83a1307cb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32167234f4f2e9eab2f46a92d8aed03512ceddd5a6562f3b6a5d3546957a7554
- Size of remote file:
- 6.84 kB
- SHA256:
- 5be284d660fa01d883b13384b2bb4f538ed7ecfed67e89bc8581945d2c8febbf
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