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")# pip install -U transformers accelerate # 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
Download neuron/model.neuron from google-bert/bert-base-german-cased: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/google-bert/bert-base-german-cased/resolve/refs%2Fpr%2F6/neuron/model.neuron
- Command line
-
hf download hf://google-bert/bert-base-german-cased@refs/pr/6/neuron/model.neuron
-
curl -L -o model.neuron https://huggingface.co/google-bert/bert-base-german-cased/resolve/refs%2Fpr%2F6/neuron/model.neuron
492 MB
- Xet hash:
- 71e548e2797372466388a6aaa98f67457f3c4c535fafba8976225f4fdc49cee7
- Size of remote file:
- 492 MB
- SHA256:
- 1dac362544a5381cef9f3a75993098935946f4c37eb4ed63b32d4ec5a7febd0d
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