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:
- fb4342501387fdc3b0fe055ce64bc5d857e0788d72a588b63a7caf37cb99c07a
- Size of remote file:
- 141 MB
- SHA256:
- 34fdbb832217be145544cd57e43f8bf1275f47821d8e912674c14af27e2b50ba
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