How to use neuralit/layoutlmv3-large-model1-clinical-vs-specialized with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="neuralit/layoutlmv3-large-model1-clinical-vs-specialized")
# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("neuralit/layoutlmv3-large-model1-clinical-vs-specialized") model = AutoModelForSequenceClassification.from_pretrained("neuralit/layoutlmv3-large-model1-clinical-vs-specialized", device_map="auto")
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