Instructions to use thaffggg/2b5218d0-3e7f-4f9d-a01c-8e91d51e64d2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thaffggg/2b5218d0-3e7f-4f9d-a01c-8e91d51e64d2 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, "thaffggg/2b5218d0-3e7f-4f9d-a01c-8e91d51e64d2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c74bd9445ff1eebce985e17e6b289c7dc163e0230c859b161e060c630228509
- Size of remote file:
- 84 MB
- SHA256:
- a61869a5c291ca5016f3d2578131893547625e08c255dd07ba060f34417ab04b
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