Instructions to use DeepDream2045/ee3e3801-ac37-4de3-847d-02f6067252b4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/ee3e3801-ac37-4de3-847d-02f6067252b4 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-128k-instruct") model = PeftModel.from_pretrained(base_model, "DeepDream2045/ee3e3801-ac37-4de3-847d-02f6067252b4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2b6237b7cef7217ce55ff251563b342b770af4970b5391ac41ed98033ef4ac9
- Size of remote file:
- 201 MB
- SHA256:
- abc6d282e07a84458161efe4e0b350ac2ee92d96203c7e48389c260a9411abc3
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