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:
- 954281d5fe05f07d2743c5053b8b4ea542e18f31fe87bde1e3bc09d2b8575ce8
- Size of remote file:
- 671 MB
- SHA256:
- df42fd3f1db841eac9cd015aba55617b2517e20b0a769fdcfe731b99e9bd4ade
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.