Instructions to use debaterhub/ipda-debater-depth-lora-iter1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use debaterhub/ipda-debater-depth-lora-iter1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/home/ubuntu/training_outputs/cx_training/merged") model = PeftModel.from_pretrained(base_model, "debaterhub/ipda-debater-depth-lora-iter1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 57f445571a16d6f2f03265e0915a9ea6a97379bc5e690ff6d9add84bcee3638d
- Size of remote file:
- 107 MB
- SHA256:
- 684e949880bda99c9f4d5f033897fb58bfa81fe12d27f87b945deb05e9ad9145
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