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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c88fff762c95db154af3373f97e283f78dec8e280dbd5ca41b6a718ab2575a7a
- Size of remote file:
- 533 MB
- SHA256:
- 3318e2e8ae8e2349b13965ef7ed82b7ce04217cb5a9b382d0a342bb16572d84e
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