Instructions to use debaterhub/ipda-debater-depth-lora-iter2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use debaterhub/ipda-debater-depth-lora-iter2 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-iter2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd996f8c2c33d65716f715dbb691f6a699e69b9f3304b8ed5e3b348225fbbd9a
- Size of remote file:
- 6.23 kB
- SHA256:
- aa44951504d3ebda862340695ee2559d7b3383e5a1d1f5801397428c2ad49ead
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