How to use lighteternal/fact-or-opinion-xlmr-el with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lighteternal/fact-or-opinion-xlmr-el")
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lighteternal/fact-or-opinion-xlmr-el") model = AutoModelForSequenceClassification.from_pretrained("lighteternal/fact-or-opinion-xlmr-el")