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:
- cae49fd478fa3e21e770093ff99153bf3c4677fafa5922200ac7c89567fb255d
- Size of remote file:
- 671 MB
- SHA256:
- 6345887fa243bffff32d13454e37e67e1f24c1467076973aab8c938b7612f61b
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