Instructions to use google-bert/bert-base-german-dbmdz-uncased 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-uncased 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-uncased")# 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") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
Adding `safetensors` variant of this model (#3) 7626906
upload flax model 8f95e94
allow flax e7d322b
Migrate model card from transformers-repo ef801f5
For clarity, delete deprecated modelcard.json 985918d
Add tokenizer configuration 3777ff0
Thomas Wolf commited on