Text Classification
Transformers
PyTorch
English
roberta
climate
misinformation
text-embeddings-inference
Instructions to use crarojasca/BinaryAugmentedCARDS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use crarojasca/BinaryAugmentedCARDS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="crarojasca/BinaryAugmentedCARDS")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("crarojasca/BinaryAugmentedCARDS") model = AutoModelForSequenceClassification.from_pretrained("crarojasca/BinaryAugmentedCARDS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
metadata
license: mit
language:
- en
metrics:
- f1
pipeline_tag: text-classification
widget:
- text: Climate change is a hoax
- example_title: Contrarian claim
tags:
- climate
- misinformation
Binary Augmented CARDS
Metrics
| Datasets | CARDS | Augmented CARDS | Support |
|---|---|---|---|
| CARDS | 90.3 | 89.1 | 2931 |
| Twitter Climate Change | 68.1 | 88.2 | 4395 |
| Golden | 67.8 | 81.1 | 2711 |