# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("google-bert/bert-base-german-dbmdz-uncased")
model = AutoModelForMaskedLM.from_pretrained("google-bert/bert-base-german-dbmdz-uncased", device_map="auto")Quick Links
This model is the same as dbmdz/bert-base-german-uncased. See the dbmdz/bert-base-german-cased model card for details on the model.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="google-bert/bert-base-german-dbmdz-uncased")