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:
- 5457dc58d39a5360ff7800313a7bca3a2a44f66fde22c38b5f4a145931c33010
- Size of remote file:
- 14.2 kB
- SHA256:
- 88b5dbebad85325217e35bae297579c34a97d050c5c5787fecd58e2d9d9059ea
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