Instructions to use Delta-Vector/Pascal-Base-Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Delta-Vector/Pascal-Base-Lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-3-12b-it") model = PeftModel.from_pretrained(base_model, "Delta-Vector/Pascal-Base-Lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 26e378319975ec85b3d214b25369bd79812002c069f8376686be09bc9f6bb970
- Size of remote file:
- 1.06 kB
- SHA256:
- 6d86df3e89b95b4064a69c05ea7bbebaa0866d39d50172ce2dfa00cea4651bb9
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