How to use StanfordAIMI/RadBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="StanfordAIMI/RadBERT")
# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("StanfordAIMI/RadBERT") model = AutoModelForMaskedLM.from_pretrained("StanfordAIMI/RadBERT", device_map="auto")
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