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:
- 17823b0f34cb11b3b08a8b03c717aee7164c491726dc60dfe1c4a847e4d9e2c9
- Size of remote file:
- 14.6 kB
- SHA256:
- f4a9f217e852f439efa6bd32fde98d6867f11aa6ea13ddc021ba10af6a0b0934
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