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
Relationship with dbmdz/bert-base-german-uncased
#1
by Marissa - opened
Is this model the same as https://huggingface.co/dbmdz/bert-base-german-uncased? It looks like the config files are the same. Thanks!
cc @stefan-it =)
(i think probably they're the same, with the non-namespaced one predating the dbmdz one because we used to not have namespaced models)
Thanks for clarifying -- here's a PR to make the relationship clear and refer to the model card for https://huggingface.co/dbmdz/bert-base-german-uncased.
https://huggingface.co/bert-base-german-dbmdz-uncased/discussions/2
If this looks ok to you, would you be able to merge it? Thanks!