Instructions to use eeeebbb2/44615eb4-2107-4f78-8b73-ad8e065d32e9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/44615eb4-2107-4f78-8b73-ad8e065d32e9 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, "eeeebbb2/44615eb4-2107-4f78-8b73-ad8e065d32e9") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e4231369e9e4bd4534daf0aff55eb217bc258c21971cc565b00f48c3995fc2ec
- Size of remote file:
- 15 kB
- SHA256:
- 41ef34f999aa1551ee8a6d3ccf0d98cd44f10fb6d01a4b77c569d0598a5dc6a8
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