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")# pip install -U transformers accelerate # 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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download neuron/model.neuron from google-bert/bert-base-chinese: direct link, hf CLI and curl.
- Browser
- Download file 441 MB
-
https://huggingface.co/google-bert/bert-base-chinese/resolve/refs%2Fpr%2F33/neuron/model.neuron
- Command line
-
hf download hf://google-bert/bert-base-chinese@refs/pr/33/neuron/model.neuron
-
curl -L -o model.neuron https://huggingface.co/google-bert/bert-base-chinese/resolve/refs%2Fpr%2F33/neuron/model.neuron
441 MB
- Xet hash:
- 1350d1ba91aebe32eb922522b5f6b5435a98f19aa7908272b46f5d7a978bb713
- Size of remote file:
- 441 MB
- SHA256:
- f25aa81ce0a6acee08235c65a10679999fef276788cda6566f375fa78930c2e9
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