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:
- 05efc0566ab1c7a54713962c464139a20f010da3fbdaa18f381249b787a65387
- Size of remote file:
- 6.78 kB
- SHA256:
- ea16fc6b34ea9ce12259045a917cda47a682add9cda40ca3e38ed7d246a02409
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