Instructions to use DeepDream2045/80a89bc3-899f-4e23-9896-759501ad8a54 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/80a89bc3-899f-4e23-9896-759501ad8a54 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, "DeepDream2045/80a89bc3-899f-4e23-9896-759501ad8a54") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a3f8d970ebf926421099b191147c730ac3ce9fcf8f4d231e213857dd4b45303a
- Size of remote file:
- 479 MB
- SHA256:
- 8eba68e7a1fa59cac36df6b8ba0efca02f9c853b0a7a8f33c89e21efd55e65ad
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