Instructions to use aleegis09/1adc2f6c-4321-4bf7-a3c4-e1f5a2074506 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis09/1adc2f6c-4321-4bf7-a3c4-e1f5a2074506 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-1.7B") model = PeftModel.from_pretrained(base_model, "aleegis09/1adc2f6c-4321-4bf7-a3c4-e1f5a2074506") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 15f96ea4762af35e3ac497997df000c96b9059140fa8f7c6031145a2c5461284
- Size of remote file:
- 147 MB
- SHA256:
- ed1efb021694d6b93f56a5577ade51f745691dcb024550690358b64d9ff487a7
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