Text Classification
PEFT
Safetensors
English
argument-mining
argument-detection
computational-social-science
llama
lora
wiba
Instructions to use armaniii/WIBA-Detect-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use armaniii/WIBA-Detect-V1 with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("meta-llama/Meta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "armaniii/WIBA-Detect-V1") - Notebooks
- Google Colab
- Kaggle
Convert adapter to modern PEFT format (merged trained score head). Verified logit-equivalent to the PEFT 0.7.1 original on both transformers 5.12/peft 0.19 and transformers 4.38/peft 0.7.1 stacks. Original-format files remain in git history.
Browse files
adapter_model.safetensors
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