Instructions to use DeepDream2045/51ce9521-8504-4c1c-9df5-6831df943276 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/51ce9521-8504-4c1c-9df5-6831df943276 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/codegemma-2b") model = PeftModel.from_pretrained(base_model, "DeepDream2045/51ce9521-8504-4c1c-9df5-6831df943276") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2ab0a517cb513ad872c5d574d226a9ec884dcfbfc6c3b2a32be5390a322ae64
- Size of remote file:
- 157 MB
- SHA256:
- 5bfda5cb32c84d6ddacc21926cb822a6c5e279635aaf8ab8f721cab6d356f3b9
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