Text Classification
PEFT
Safetensors
English
stance-detection
stance-classification
argument-mining
computational-social-science
llama
lora
wiba
Instructions to use armaniii/WIBA-Stance-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use armaniii/WIBA-Stance-V1 with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "armaniii/WIBA-Stance-V1") - Notebooks
- Google Colab
- Kaggle
Update tokenizer.json (modern PEFT format conversion)
Browse files- tokenizer.json +0 -0
tokenizer.json
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