Instructions to use google-bert/bert-base-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google-bert/bert-base-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="google-bert/bert-base-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("google-bert/bert-base-cased") model = AutoModelForMaskedLM.from_pretrained("google-bert/bert-base-cased") - Inference
- Notebooks
- Google Colab
- Kaggle
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datasets:
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- bookcorpus
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- wikipedia
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# BERT base model (cased)
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<a href="https://huggingface.co/exbert/?model=bert-base-cased">
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<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
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</a>
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datasets:
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- bookcorpus
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- wikipedia
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library_name: flair
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---
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# BERT base model (cased)
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<a href="https://huggingface.co/exbert/?model=bert-base-cased">
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<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
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</a>
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