Instructions to use Saurabh4509/Checks with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Saurabh4509/Checks with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b-Instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "Saurabh4509/Checks") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9da8d5f83e345c0fcdc188b5024b1a128a1046ac1e4863ce4bad8d4f6efcaee4
- Size of remote file:
- 1.34 GB
- SHA256:
- 888592eb5627e2d97ff7be6fd9fb0071a3904d1695ab05b651dd042b26b45a38
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