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:
- 3717e619cd0dee3c04927be81330d582cf265ceb40a92940fee44a63bbf1cb2c
- Size of remote file:
- 407 MB
- SHA256:
- de644f08603712d20063eaa270217fc977bea354923d81e16b593915d455a5ae
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