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## Cyclone Chinese NER
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This model provides simplified Chinese NER model based on pretrained model BERT (specifically BERT + CRF)
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Currently, we only support 8 general type of entities ("address", "company", "government", "name", "organization", "position", "scene", "time")
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### Usage
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from transformers import BertConfig
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config = BertConfig.from_pretrained("bert-base-chinese", num_labels=num_labels)
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model_path = "cyclone/cyclone-ner"
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tokenizer = CNerTokenizer.from_pretrained(model_path, do_lower_case=True)
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model = BertCrfForNer.from_pretrained(model_path, config=config)
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