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:
- 8a412da02116ee475212f45b80de653d2fe5b1445292f8e6afc0018a8ee05fae
- Size of remote file:
- 800 MB
- SHA256:
- 560f01a31e8d67b91680de3167afaaddddc2f26d8753663c3c3cc26e56e8f846
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