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:
- 57fb87197e610de05344a2cd074d76da2dbd2ee858deee01e337f42efbd60362
- Size of remote file:
- 1.34 GB
- SHA256:
- 3fb0a4d3c105d05de281feeeeec0a1818456f31da94c2bc8861b75af1f09cc9e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.