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
Add reference to model card for the same model
#2
by Marissa - opened
Thanks! cc @stefan-it
julien-c changed pull request status to merged