Instructions to use nhungphammmmm/f4c7b7ea-9ec8-4c6c-b71e-45ffbd12cc79 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhungphammmmm/f4c7b7ea-9ec8-4c6c-b71e-45ffbd12cc79 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Korabbit/llama-2-ko-7b") model = PeftModel.from_pretrained(base_model, "nhungphammmmm/f4c7b7ea-9ec8-4c6c-b71e-45ffbd12cc79") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d725924db9f0fd1c6d2b12bf3d2f3ff458651af4756d2a38093861002867cf39
- Size of remote file:
- 6.78 kB
- SHA256:
- 829f5da6f6f01b08c9342ddb32d9c9503ab96bc37aaf1161567dab3b9cee3b0b
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