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
Commit History
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Updating paper link
Updating the research paper link563097a
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Model Card
Some additional information for the model card, based on the format we are using as part of our effort to standardise model cards Feel free to merge if you are ok with the changes! (cc @ Marissa @ Meg )c153cf0
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upload flax model
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allow flax
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cp vocab.txt from deepset's S3
cc @malte8764576
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Migrate model card from transformers-repo
Read announcement at https://discuss.huggingface.co/t/announcement-all-model-cards-will-be-migrated-to-hf-co-model-repos/2755 Original file history: https://github.com/huggingface/transformers/commits/master/model_cards/bert-base-german-cased-README.md217550e
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For clarity, delete deprecated modelcard.json
We now use the README.md model card instead Approved-by: Julien Chaumond <julien@huggingface.co>40446cd
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