Instructions to use sergioalves/af1afe3a-1bf4-4a05-8b81-0345abffe953 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sergioalves/af1afe3a-1bf4-4a05-8b81-0345abffe953 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("lcw99/zephykor-ko-7b-chang") model = PeftModel.from_pretrained(base_model, "sergioalves/af1afe3a-1bf4-4a05-8b81-0345abffe953") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 15b136f97423a33845fa40fef0e5b0d78f9703b1441aa7b81c97873c36f150b4
- Size of remote file:
- 14.2 kB
- SHA256:
- 771aba8a4e8fb219bd14601087487c802e830687ae8ba870683f0a0c56d57221
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