How to use SemViQA/tc-infoxlm-isedsc01 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SemViQA/tc-infoxlm-isedsc01")
# Load model directly from transformers import ClaimModelForClassification model = ClaimModelForClassification.from_pretrained("SemViQA/tc-infoxlm-isedsc01", dtype="auto")
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