Instructions to use google-bert/bert-base-german-dbmdz-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google-bert/bert-base-german-dbmdz-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="google-bert/bert-base-german-dbmdz-cased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("google-bert/bert-base-german-dbmdz-cased") model = AutoModelForMaskedLM.from_pretrained("google-bert/bert-base-german-dbmdz-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Migrate model card from transformers-repo
Browse filesRead announcement at https://discuss.huggingface.co/t/announcement-all-model-cards-will-be-migrated-to-hf-co-model-repos/2755
Original file history: https://github.com/huggingface/transformers/commits/master/model_cards/bert-base-german-dbmdz-cased-README.md