How to use Amit5674/NLI-hebrew-binary-correctness-metric with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Amit5674/NLI-hebrew-binary-correctness-metric", trust_remote_code=True)
# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("Amit5674/NLI-hebrew-binary-correctness-metric", trust_remote_code=True, device_map="auto")
