Instructions to use LemTenku/glora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use LemTenku/glora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-3-27b-it") model = PeftModel.from_pretrained(base_model, "LemTenku/glora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d18b7f259e371f96923141f374cc5da5f20726fe12aa149e176efca64c571303
- Size of remote file:
- 923 MB
- SHA256:
- 65d6c5881e9d4f0ac2a46c91de9e315dcbf21a4de0960e022d80ac3dc56fbff4
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