Instructions to use hongngo/cf6cf346-dae7-4239-9bc8-e2e0053f4906 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hongngo/cf6cf346-dae7-4239-9bc8-e2e0053f4906 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, "hongngo/cf6cf346-dae7-4239-9bc8-e2e0053f4906") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8979b9abeb30d1e19484a1129ac52013ceec8800c53c5fb5ab7a38d4edb15202
- Size of remote file:
- 84 MB
- SHA256:
- 1e43a774eb5edbea5f26823054e9735dad2a263beccafd8cb13c2bd06dbb9d7d
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