Instructions to use arhamm40182/LLMPrompter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use arhamm40182/LLMPrompter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/phi-2") model = PeftModel.from_pretrained(base_model, "arhamm40182/LLMPrompter") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 41de94337e411444241c9d6b9f58be69053daf7ed3f9039669a19d902d0469b0
- Size of remote file:
- 5.05 kB
- SHA256:
- 61628cace3d23a0b192a9deedee77f44155861bd679d5aea8149c0bf78beb87c
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