Instructions to use shibing624/bert4ner-base-chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shibing624/bert4ner-base-chinese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="shibing624/bert4ner-base-chinese")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("shibing624/bert4ner-base-chinese") model = AutoModelForTokenClassification.from_pretrained("shibing624/bert4ner-base-chinese", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download bert.png from shibing624/bert4ner-base-chinese: direct link, hf CLI and curl.
- Browser
- Download file 77.2 kB
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https://huggingface.co/shibing624/bert4ner-base-chinese/resolve/main/bert.png
- Command line
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hf download hf://shibing624/bert4ner-base-chinese/bert.png
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curl -L -o bert.png https://huggingface.co/shibing624/bert4ner-base-chinese/resolve/main/bert.png
77.2 kB
