Instructions to use jinn33/crm-dpo-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jinn33/crm-dpo-adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("LGAI-EXAONE/EXAONE-4.0-1.2B") model = PeftModel.from_pretrained(base_model, "jinn33/crm-dpo-adapter") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b9b41740c34101086f414edd13e426d06435d0b33c8ac89ec9633a8d45d8c89e
- Size of remote file:
- 6.77 kB
- SHA256:
- 5eacc53fdcff539720ecd8b4bb6840c2d6ea3de57e6f24ba92d82cda15e107a6
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