Instructions to use DeepDream2045/d39c2c44-497a-4263-b4dd-0b4ec14c1b5c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/d39c2c44-497a-4263-b4dd-0b4ec14c1b5c 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/d39c2c44-497a-4263-b4dd-0b4ec14c1b5c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d1650b864ce11e011e0435749298cd63b87787d8419547f88f529312b6483b2b
- Size of remote file:
- 6.78 kB
- SHA256:
- 2e52620c623b176bc08fc334ee5233f9abbe4e020c9b9dd732a38c27bb6106b3
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