Instructions to use dbmdz/bert-base-german-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dbmdz/bert-base-german-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dbmdz/bert-base-german-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dbmdz/bert-base-german-cased") model = AutoModelForMaskedLM.from_pretrained("dbmdz/bert-base-german-cased") - Inference
- Notebooks
- Google Colab
- Kaggle
Update tf_model.h5
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:b62b0f41cf247bca0e8f2cb46647173e9f26ff8dd65de5cdf91e4a70812f3b46
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size 539615304
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