Instructions to use DeepDream2045/472f800b-4cef-46e8-98bb-9034a1edc4c6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/472f800b-4cef-46e8-98bb-9034a1edc4c6 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "DeepDream2045/472f800b-4cef-46e8-98bb-9034a1edc4c6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf8e27f51f8df61b84aee4ca38a48821f72e031fa3ccd6e5447b1e00c5843e0d
- Size of remote file:
- 1.06 kB
- SHA256:
- 0099cb7287625b29b67c4fcf42ff20fae623b429bfb10f5ac695bc54f2be54fd
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