albert-bilstm-crf model download
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@ -225,6 +225,7 @@ print(sents)
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* ner, albert+bilstm+crf网络架构, 最大支持126个字符;
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* 需要安装tensorflow==1.15.0(pip安装不默认下载, 1.15.0以下未实验, 1.13以上应该可以);
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* 需要下载模型(pip安装不默认下载, 将ner_albert_people_1998覆盖到安装目录macropodus/data/model);
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* 模型地址在[https://pan.baidu.com/s/1I3vydhmFEQ9nuPG2fDou8Q](https://pan.baidu.com/s/1I3vydhmFEQ9nuPG2fDou8Q), 提取码:rket;
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```python3
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import macropodus
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@ -240,6 +241,7 @@ print(res_ners)
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* pos tag, albert+bilstm+crf网络架构, 最大支持126个字符;
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* 需要安装tensorflow==1.15.0(pip安装不默认下载, 1.15.0以下未实验, 1.13以上应该可以);
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* 需要下载模型(pip安装不默认下载, 将tag_albert_people_1998覆盖到安装目录macropodus/data/model);
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* 模型地址在[https://pan.baidu.com/s/1I3vydhmFEQ9nuPG2fDou8Q](https://pan.baidu.com/s/1I3vydhmFEQ9nuPG2fDou8Q), 提取码:rket;
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```python3
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import macropodus
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@ -221,4 +221,8 @@ if __name__ == "__main__":
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for es in equation_sample:
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print('ff算式: ' + es)
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print('思慧计算器结果: ' + str(cal.calculator_sihui(es)))
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print('思慧计算器结果: ' + str(cal.calculator_sihui(es)))
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while True:
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print("请输入:")
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question = input()
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print(cal.calculator_sihui(question))
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