Instructions to use rica40325/39dpomul with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rica40325/39dpomul with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("rica40325/10_14dpo") model = PeftModel.from_pretrained(base_model, "rica40325/39dpomul") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0632b53cb9572429196e2f4c7ad43f17432ee9fcd9cc79acb36c98c94503f6c0
- Size of remote file:
- 457 MB
- SHA256:
- 41fc6469da62556a01f131a41f569b4a9ab18ac6cabf1d4d594e226890579265
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