Instructions to use denbeo/3887c7f2-2f55-46bb-947c-a6f7948dbc31 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use denbeo/3887c7f2-2f55-46bb-947c-a6f7948dbc31 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama") model = PeftModel.from_pretrained(base_model, "denbeo/3887c7f2-2f55-46bb-947c-a6f7948dbc31") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1714b41e43260a26d5e67b4e9c5f9b57bfea69d5c286471235411027af4faaca
- Size of remote file:
- 25.3 MB
- SHA256:
- a3c951d3af9d9f81147846747a16acb4b89a411d373b2f77ff1a72383a66fda8
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