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")# 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") - Notebooks
- Google Colab
- Kaggle
Add link to same model
#2
by Marissa - opened
Based on the discussion here (https://huggingface.co/bert-base-german-dbmdz-uncased/discussions/1), we think this is the same model as https://huggingface.co/dbmdz/bert-base-german-cased. If that's true, could you merge this PR which adds a note to the model card for this model making the relationship clear? Thanks!
https://huggingface.co/bert-base-german-dbmdz-cased/discussions/1