Instructions to use junnyu/ChineseBERT-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use junnyu/ChineseBERT-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="junnyu/ChineseBERT-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("junnyu/ChineseBERT-base") model = AutoModelForMaskedLM.from_pretrained("junnyu/ChineseBERT-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 643be204408348e2dcb41e6154794c242bbc2e3169f3408a60d503e954a230fc
- Size of remote file:
- 592 MB
- SHA256:
- c7c3c9f9582e5ce111eb20dbbebab13d9ac2e8f10020b64a7646e195515c8960
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