Instructions to use Nitrals-Loras/vmc-12B-1.5-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Nitrals-Loras/vmc-12B-1.5-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Nitral-AI/vmc-12B-1.25") model = PeftModel.from_pretrained(base_model, "Nitrals-Loras/vmc-12B-1.5-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e4d8fdb38232315bc7adf62585b9032042be295bfa08836288cff54bb157c0a2
- Size of remote file:
- 17.1 MB
- SHA256:
- 4b4c8fcd33487a449c07f423d47adb035bba8347ccf13eb074b4d1fef8acf919
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