Instructions to use DeepDream2045/d536d2f9-7fe1-46fb-b209-eee34febd19d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/d536d2f9-7fe1-46fb-b209-eee34febd19d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/codegemma-2b") model = PeftModel.from_pretrained(base_model, "DeepDream2045/d536d2f9-7fe1-46fb-b209-eee34febd19d") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f0c7835f07b86943ec8c2ffae57ffb38e464e47e75b9181818365148e6e0eee3
- Size of remote file:
- 15 kB
- SHA256:
- 1a4efd2bb8b17d04992384081b7c4cb9ac732e0559d63fefc4ed9404afb6d251
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