Instructions to use mrhunghd/20155cb9-2db0-41eb-9727-5c5a21d69e1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mrhunghd/20155cb9-2db0-41eb-9727-5c5a21d69e1b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("oopsung/llama2-7b-koNqa-test-v1") model = PeftModel.from_pretrained(base_model, "mrhunghd/20155cb9-2db0-41eb-9727-5c5a21d69e1b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7377e91cb7421612a96de6a867353603e94b903294bdb0dcdff10ba17b076246
- Size of remote file:
- 80.1 MB
- SHA256:
- c2dfed55bcd90bfbddc014fe093aa42e87ae541628f31194c88d9c545f9c2748
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