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
Adding Neuron-optimized model files
#5 opened 10 months ago
by
badaoui
Relationship with dbmdz/bert-base-german-uncased
3
#1 opened almost 4 years ago
by
Marissa