Instructions to use google-bert/bert-base-german-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-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-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("google-bert/bert-base-german-cased") model = AutoModelForMaskedLM.from_pretrained("google-bert/bert-base-german-cased") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 16f1cc8f5ab12ef081f9152e1e0d16720c6aa938d2624bd192902958c4793363
- Size of remote file:
- 439 MB
- SHA256:
- 56a21938415b06a68b870e4b1b3413cdd532ae6456fefef1ee5a852faf52f806
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