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:
- a25f18a999e6b6dbfd3a8445a6c6309e9d763cb34b65e66bd1896bf2714dbcea
- Size of remote file:
- 15 kB
- SHA256:
- 6d94bafecf7916614803b87d25183784af22e78a3c8769cf9497c7cd53bb0c26
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