Instructions to use DeepDream2045/4f1b39e0-c5b3-469b-920f-d7e7f080eeda with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/4f1b39e0-c5b3-469b-920f-d7e7f080eeda with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Mistral-Nemo-Instruct-2407") model = PeftModel.from_pretrained(base_model, "DeepDream2045/4f1b39e0-c5b3-469b-920f-d7e7f080eeda") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f8909f914ebc26e7aa1ea69090edd4e334712a911065df76194cc3be02f614a
- Size of remote file:
- 6.78 kB
- SHA256:
- 35d2daf716098bb282fa9155d445b6698162ceb8bced66d477309d3d14d5a403
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