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:
- 957ad3a055ac5776a689e2f9acc7f283f3ab9337e1c7e86724bdbe6f3fd402fa
- Size of remote file:
- 5.62 kB
- SHA256:
- fac5f7f055eefb62a3ccc848834ac73ed66110222ea22915e728d02d65d174bc
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