Instructions to use ckiplab/bert-base-chinese-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ckiplab/bert-base-chinese-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ckiplab/bert-base-chinese-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ckiplab/bert-base-chinese-ner") model = AutoModelForTokenClassification.from_pretrained("ckiplab/bert-base-chinese-ner") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dbb9d0a7125b28580b662244a8b93737e37b8dbfa00bd37880aac1696769cffc
- Size of remote file:
- 407 MB
- SHA256:
- f63373ccef4de549747b36a267f81eea553ecfa3476e2726ad689e430ddff491
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