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:
- 6720b0ce0598c8288cbdda4e9b4ae5a14df5fd72a66c2c4393fb3ce87424a1ef
- Size of remote file:
- 157 MB
- SHA256:
- 03ee4e7c627d9a3b780c50f975e8508c808052a8bd6e0a6c17071d56e32107ca
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