Instructions to use cpheemagazine/a0795576-991a-4eb6-ab3f-3f4e05602555 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cpheemagazine/a0795576-991a-4eb6-ab3f-3f4e05602555 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("samoline/59a2f6c0-e750-406f-bd9a-9f1c81bd29b1") model = PeftModel.from_pretrained(base_model, "cpheemagazine/a0795576-991a-4eb6-ab3f-3f4e05602555") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da070f8626ee36c29d81d14f7a18b0a943ba6477aaa86b433d0f865f98bf8392
- Size of remote file:
- 17.2 MB
- SHA256:
- 6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b
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