Instructions to use DeepDream2045/1456de04-c9e4-4797-878c-dc68c1fa1ab2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/1456de04-c9e4-4797-878c-dc68c1fa1ab2 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, "DeepDream2045/1456de04-c9e4-4797-878c-dc68c1fa1ab2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b26f9376fe211e0a73026d03c02baaf33ad6fc71da46094183ebd32557d8d66
- Size of remote file:
- 6.78 kB
- SHA256:
- 6dc9026e5067a0d65446376355eedf643f7aba3d447d67efa808d76726da11b5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.