Instructions to use aleegis09/6426ef20-71c8-4eeb-9bf7-2d76e054d177 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis09/6426ef20-71c8-4eeb-9bf7-2d76e054d177 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-1.1-2b-it") model = PeftModel.from_pretrained(base_model, "aleegis09/6426ef20-71c8-4eeb-9bf7-2d76e054d177") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 54263eda1d167b0f18b40dd7c342e36a28630eb2220d4d9ce3c884448f04ba25
- Size of remote file:
- 314 MB
- SHA256:
- 8879fc0217aeccca69e9f7e66a1a6fcd78451241a34c0e50114f80890d281565
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