# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("rasoultilburg/ssc_bert")
model = AutoModelForSequenceClassification.from_pretrained("rasoultilburg/ssc_bert")Quick Links
Binary causal sentence classification:
- LABEL_0 = Non-causal
- LABEL_1 = Causal
See the project repository here:
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rasoultilburg/ssc_bert")