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:
- fbec5e0b0da37d5d90849b0deda42164df5f9a868e8da79b8a89fcea712161c8
- Size of remote file:
- 1.34 GB
- SHA256:
- 02fed306274c8e8202744938a43d06d8d661f36a6b9a62ddd1084747dc45344c
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