tdiggelm/climate_fever
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How to use Jasontth/climate-fever-plus-RoBERTa with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="Jasontth/climate-fever-plus-RoBERTa") # Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("Jasontth/climate-fever-plus-RoBERTa")
model = AutoModelForSequenceClassification.from_pretrained("Jasontth/climate-fever-plus-RoBERTa")This model is a fine-tuned version of roberta-base on Jasontth/climate_fever_plus (https://huggingface.co/datasets/Jasontth/climate_fever_plus), enlarged CLIMATE-FEVER dataset (The dataset provided combines the Climate-Fever dataset and claim reviews from the website Climate Feedback (https://climatefeedback.org/)
For detail, please read this paper
It achieves the following results on the test set:
Base model
FacebookAI/roberta-base