Instructions to use DeepDream2045/d536d2f9-7fe1-46fb-b209-eee34febd19d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/d536d2f9-7fe1-46fb-b209-eee34febd19d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/codegemma-2b") model = PeftModel.from_pretrained(base_model, "DeepDream2045/d536d2f9-7fe1-46fb-b209-eee34febd19d") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 34fe1f6d99bafa16e4b3a65c8c2a8d660d47ef92069bfb91e0e3a06b0730c879
- Size of remote file:
- 157 MB
- SHA256:
- 05c9217a6440de93507e45529dbfc7757363e4c3d5c08a4d1a6c2da1410a2aad
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