Instructions to use chauhoang/4f134ab9-cde0-6c75-38d8-76297566c75b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/4f134ab9-cde0-6c75-38d8-76297566c75b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("WhiteRabbitNeo/Llama-3-WhiteRabbitNeo-8B-v2.0") model = PeftModel.from_pretrained(base_model, "chauhoang/4f134ab9-cde0-6c75-38d8-76297566c75b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b57c9023c22d83d59af7bcacbbcee21d91e9ab6e5a33c12dbcea57feebc67bf
- Size of remote file:
- 84 MB
- SHA256:
- b14edd1bfbf12e883eb1b0671e8f8935aeca1ecc32e49b6eea0e334cf784f244
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.