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:
- bfe262b5479f9999580d8ece71b068299e2a3385825b44f1a27713a6d79a232e
- Size of remote file:
- 6.78 kB
- SHA256:
- a06ab2780c6a06330d3acffde3b4fa49ee47cf24803e6fc045a515756d5ed281
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