Instructions to use 1-lock/267607c4-3f58-4ff8-ad72-625352a06ab8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/267607c4-3f58-4ff8-ad72-625352a06ab8 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, "1-lock/267607c4-3f58-4ff8-ad72-625352a06ab8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 65d31ac4578c4536a8ca7cef34005c9c7dc225155934c971af57b8888f507b47
- Size of remote file:
- 6.84 kB
- SHA256:
- 1b9bd8e8e15d3371e322157078e449850bf2e82cd5e9277d139f6698310ef48b
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