Instructions to use DeepDream2045/cb4d9b9f-e4be-454c-9f1b-b702177e34fa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/cb4d9b9f-e4be-454c-9f1b-b702177e34fa 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/cb4d9b9f-e4be-454c-9f1b-b702177e34fa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b4b12c4f2b3fdf4e41356861b2dfbb053a02eea81692545922b0d25849e29678
- Size of remote file:
- 800 MB
- SHA256:
- 0302fac5fb3b1855ffedfc679675174c9c3ba5169158ac94da5f9292affc7781
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