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:
- d6e8df764d960156ce2367e4644b063f01b64c4d3f978efa6cab676c651d7a95
- Size of remote file:
- 290 MB
- SHA256:
- 5d798b2331c2c3404490056ad1132378b4b7f41868aa6f71e566e7d7e79ebc5d
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