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:
- 5f5c8d6cb65b12e8f44af7dfec35ed0e8d4173881492ac7cbfee7dc7ac99f360
- Size of remote file:
- 336 MB
- SHA256:
- 7f547e46c3dad35f85429530284db0ddd06c2c9f3d8eb734f633b7368ea276a0
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