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