Instructions to use DeepDream2045/2243c9e3-3653-4e66-98ae-37559f41ca68 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/2243c9e3-3653-4e66-98ae-37559f41ca68 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-0.5B") model = PeftModel.from_pretrained(base_model, "DeepDream2045/2243c9e3-3653-4e66-98ae-37559f41ca68") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c37778af05930a091585411c764facd1a6f799c22443edc3a9ae441fa19d4f65
- Size of remote file:
- 70.5 MB
- SHA256:
- 56b35bbf9b2f25e1bf79f5824d253a09e771596b6710cb911ff880b813685812
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