Instructions to use google-bert/bert-base-chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google-bert/bert-base-chinese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="google-bert/bert-base-chinese")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("google-bert/bert-base-chinese") model = AutoModelForMaskedLM.from_pretrained("google-bert/bert-base-chinese") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2bf06174fcd37e493b71ab205200b767e4c9ab3cd18102a24fff99a7f4cf1b2a
- Size of remote file:
- 478 MB
- SHA256:
- 612acd33db45677c3d6ba70615336619dc65cddf1ecf9d39a22dd1934af4aff2
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