Instructions to use skd898s/ttest2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use skd898s/ttest2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("beomi/KoAlpaca-Polyglot-5.8B") model = PeftModel.from_pretrained(base_model, "skd898s/ttest2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec3df7ae206257e6f304768edd7774550101fe3006c8ca0b6316a1d44549e78c
- Size of remote file:
- 235 MB
- SHA256:
- d77395e5dec5bfa332042343fa8e9ca678d269ee0f579a17bcafd67e6f6a34cb
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