Instructions to use DeepDream2045/c4259f5e-5388-4faf-b1af-d451ab2134a5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/c4259f5e-5388-4faf-b1af-d451ab2134a5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-3B-Instruct") model = PeftModel.from_pretrained(base_model, "DeepDream2045/c4259f5e-5388-4faf-b1af-d451ab2134a5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d533f565c3d1596d5322c6893a1422c9af93129e3c506eeac1f9dcdc61ab651b
- Size of remote file:
- 479 MB
- SHA256:
- 36854da82eebc6281470a8f98759334be3028312727cf6f7c3ef7111ed34ccf2
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