Instructions to use imdiddu/DUR-bllossom-8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use imdiddu/DUR-bllossom-8b 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, "imdiddu/DUR-bllossom-8b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4922f30bacd6cb8cd6bfdfb6c15923d0153d0d7c909989bbf3c2a159da5a056f
- Size of remote file:
- 5.11 kB
- SHA256:
- b898d013a7d972bd8b32e9a2bdebfc6a4fe5a97d4fb81a19a7571f2419eb2141
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