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:
- 3cf6060bcfc69f73c8455c2e1b56c29d79b64c80d425197173a8efd6cd5e2488
- Size of remote file:
- 6.78 kB
- SHA256:
- 087e98bf45272796a03a221602478a9864d8e5af6ea9f42d1a40bdfcc8f31ba6
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