- download model file, pwd: 747l
- just use like this
- first
bn = BertNer(gpu_no=0, log_dir='log/', verbose=True, ner_model=r'bert_ner_model\\')
- second
bn.predict(['两年前,来自上海的“高龄产妇”周月(化名),在香港顺产生下了一个活泼可爱的女儿', '湖北农民万其珍应下叔叔万述荣的临终嘱托,成为万家第三代义渡艄公'])
- third
you will get result like this [[['上海', 'LOC'], ['周月', 'PER'], ['香港', 'LOC']], [['湖北', 'LOC'], ['万其珍', 'PER'], ['万述荣', 'PER']]], every element of list is ner of content
- first
name | type | detail |
---|---|---|
gpu_no | int | which gpu will be use to init bert ner graph |
log_dir | str | log dir |
verbose | bool | whether show tensorflow log |
ner_model | str | bert ner model path |