# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("adamnik/roberta-causality-self-train")
model = AutoModelForSequenceClassification.from_pretrained("adamnik/roberta-causality-self-train")Quick Links
Causality detection model fine-tuned on both self-labeled data and both the training and dev sets from the Causal News Corpus (https://github.com/tanfiona/CausalNewsCorpus/tree/master/data).
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="adamnik/roberta-causality-self-train")