Instructions to use Liduvina/LLM_A1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Liduvina/LLM_A1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloomz-3b") model = PeftModel.from_pretrained(base_model, "Liduvina/LLM_A1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 31ab5ea3e6f8549bd98c7c5503b30086339b2556bc7038efa1f25c10d876c6e8
- Size of remote file:
- 19.7 MB
- SHA256:
- e6803811f590bdf17207b5efb106959229e7a1dce19fcd655430c1d72f18c79c
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