Instructions to use dimasik2987/814f19b2-e567-48bd-b878-462707019cfe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik2987/814f19b2-e567-48bd-b878-462707019cfe 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, "dimasik2987/814f19b2-e567-48bd-b878-462707019cfe") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1962a5e3a43bb337e554bd76bc6b106e8637ae2deb4ba0c7c54ad994bd54fe0d
- Size of remote file:
- 6.84 kB
- SHA256:
- 0d96e2a6cbc27efa326f4a7e2ac33f8d03a722df24201e60e47ae9293a460c39
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