Instructions to use mrHungddddh/6670f094-938d-4b20-ac7f-4aceb28e31d2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mrHungddddh/6670f094-938d-4b20-ac7f-4aceb28e31d2 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, "mrHungddddh/6670f094-938d-4b20-ac7f-4aceb28e31d2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b8b464e6d83f2b2b5ad7cb982934064595af3fae8d324f40eb85b4f0d1863ba9
- Size of remote file:
- 84 MB
- SHA256:
- 5548389595e6689fe844be4640f2b52b76d246bcd36cb4d071aeda275c6bfc65
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