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:
- 8860ac5fbef7cbfaaae480ebd321408cf419b2d71522ce6b4e3bd30ac0b171f0
- Size of remote file:
- 210 MB
- SHA256:
- cdeffab6e4359da77fd5b4860c6c365c6752656b065a2df56b0a8f9896d160ef
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