Instructions to use google-bert/bert-large-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google-bert/bert-large-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="google-bert/bert-large-cased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("google-bert/bert-large-cased") model = AutoModelForMaskedLM.from_pretrained("google-bert/bert-large-cased", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
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Adds tokenizer_config.json file
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (e2762dab13d1e03b9c0d36fc52c20c604dec23b8) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>0879dca
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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-large-cased-README.mdfc67c89
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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>e78ea72
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