Instructions to use mrHungddddh/eea88a40-ee21-401f-979e-6029adbce886 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mrHungddddh/eea88a40-ee21-401f-979e-6029adbce886 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-2-7b-chat") model = PeftModel.from_pretrained(base_model, "mrHungddddh/eea88a40-ee21-401f-979e-6029adbce886") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fe37c2de86a6707d8393781172493646455361057c2bf19628730058c0aab689
- Size of remote file:
- 80.1 MB
- SHA256:
- 47370ffff8bafd076ab4613dce4a2723de8dedb18b3f6297eed4cb651690e92e
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