Instructions to use chauhoang/db54502c-9bcf-e45b-708b-a7b514a6c592 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/db54502c-9bcf-e45b-708b-a7b514a6c592 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("MLP-KTLim/llama-3-Korean-Bllossom-8B") model = PeftModel.from_pretrained(base_model, "chauhoang/db54502c-9bcf-e45b-708b-a7b514a6c592") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 46bd364250c84de09fdbf9e7e9bd5bc0ef9f5f9219d5dfd465f59ee18d1ab034
- Size of remote file:
- 43.1 MB
- SHA256:
- c8c813a469fa70a7f9fd8a38695ef48f9ac9b8f58d3c0a2689e832519ecf28b0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.