Instructions to use DeepDream2045/ac6cad31-49cc-4fb8-bd39-754264aa59fa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/ac6cad31-49cc-4fb8-bd39-754264aa59fa 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/ac6cad31-49cc-4fb8-bd39-754264aa59fa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6338395a08392577ca8a27acfecc1a1fae6a9a367862d939ec761b22bba28010
- Size of remote file:
- 336 MB
- SHA256:
- d87db8308df6e574279f353c973396019c330f0408a94f29819853e39ddcb2c2
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