Instructions to use DeepDream2045/e259bfcb-1b8d-41e0-bc8b-2b5147ec7689 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/e259bfcb-1b8d-41e0-bc8b-2b5147ec7689 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/codegemma-7b-it") model = PeftModel.from_pretrained(base_model, "DeepDream2045/e259bfcb-1b8d-41e0-bc8b-2b5147ec7689") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 378242db4727b23c583ae160621757f5411fd98b47c178462b3816e6762288da
- Size of remote file:
- 6.78 kB
- SHA256:
- fcfedd04f56d65fb3aeb76788c477ecca6e61305a015ad42109e666d7a5bb6e7
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