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
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by Marissa - opened
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This model is the same as [dbmdz/bert-base-german-uncased](https://huggingface.co/dbmdz/bert-base-german-uncased). See the [dbmdz/bert-base-german-cased model card](https://huggingface.co/dbmdz/bert-base-german-uncased) for details on the model.
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