Instructions to use google-bert/bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google-bert/bert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="google-bert/bert-base-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("google-bert/bert-base-uncased") model = AutoModelForMaskedLM.from_pretrained("google-bert/bert-base-uncased") - Inference
- Notebooks
- Google Colab
- Kaggle
Updates the tokenizer configuration file (#62)
Browse files- Adds tokenizer_config.json file (87565a3098077d493d402e1b109e67baf52c5281)
- tokenizer_config.json +1 -3
tokenizer_config.json
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{
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"do_lower_case": true
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}
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{"do_lower_case": true, "model_max_length": 512}
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