Instructions to use aleegis09/a67e44b2-208c-4a25-a47c-6213eff2fcdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis09/a67e44b2-208c-4a25-a47c-6213eff2fcdb with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "aleegis09/a67e44b2-208c-4a25-a47c-6213eff2fcdb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11cde1b4f035c9834f0653f329abba76cb467c358333c218558d9f08fe2f98b0
- Size of remote file:
- 332 MB
- SHA256:
- 124c976842beff9592a8dcfca82fec11e25fa17f8f8b65c0d7d46da098d9bc5f
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