mwong/fever-evidence-related
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How to use mwong/climatebert-base-f-climate-evidence-related with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="mwong/climatebert-base-f-climate-evidence-related") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("mwong/climatebert-base-f-climate-evidence-related")
model = AutoModelForSequenceClassification.from_pretrained("mwong/climatebert-base-f-climate-evidence-related", device_map="auto")ClimateBert-related is a classifier model that predicts if climate related evidence is related to query claim. The model achieved F1 score of 81.90% with test dataset "mwong/climate-evidence-related". Using pretrained ClimateBert-f model, the classifier head is trained on Fever dataset and adapted to climate domain using ClimateFever dataset.