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onnx-java's Introduction

这里利用java加载onnx模型,并进行推理。

步骤

1.利用java加载onnx模型,并进行推理预测。这里采用roberta模型的onnx版。

2.pytorch模型从这里 下载。

3.pytorch模型转为onnx见这里

使用

1.sy/BertMask

String text = "**的首都是[MASK]京。";
Triple<BertTokenizer, Map<String, OnnxTensor>, Integer> triple = null;
try {
    triple = parseInputText(text);
} catch (Exception e) {
    e.printStackTrace();
}
var maskPredictions = predMask(triple);
System.out.println(maskPredictions);

2.result

String text = "**的首都是[MASK]京。";

tokens -> [[CLS], 中, 国, 的, 首, 都, 是, [MASK], 京, 。, [SEP]]
[MASK] predictions -> [北, 南, 东, 燕, 望]

String text = "我家后面有一[MASK]大树。";

tokens -> [[CLS], 我, 家, 后, 面, 有, 一, [MASK], 大, 树, 。, [SEP]]
[MASK] predictions -> [棵, 个, 株, 只, 颗]

参考

https://github.com/jiangnanboy/model2onnx

https://huggingface.co/uer/chinese_roberta_L-2_H-512

https://arxiv.org/pdf/1907.11692.pdf

https://github.com/ankiteciitkgp/bertTokenizer

https://arxiv.org/pdf/1810.04805.pdf

onnx-java's People

Contributors

jiangnanboy avatar

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