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:
- 39461f4ff6c0790ec2bdb68079aed099a5887d2dbf42593108c0ad40c0b0c8ea
- Size of remote file:
- 6.78 kB
- SHA256:
- 993b7fc23abd4734fce809864628180823ab531d0642c8851e1499d587abe2f4
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