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--- |
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language: zh |
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widget: |
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- text: "水稻生長的適宜溫度是多少？" |
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- text: "心臟病的病因?" |
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--- |
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# Agriculture-Classification |
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This is a model used for classifying whether it is a agricultural question or not. |
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## Usage |
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### In Transformers |
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```python |
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from transformers import BertTokenizer, BertForSequenceClassification, pipeline |
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model_name = "NchuNLP/Agriculture-Classification" |
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tokenizer = BertTokenizer.from_pretrained(model_name) |
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model = BertForSequenceClassification.from_pretrained(model_name, num_labels=2) |
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# Get predictions |
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nlp = pipeline('text-classification', model=model, tokenizer=tokenizer) |
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query = "水稻生長的適宜溫度是多少？" |
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res = nlp(query) |
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``` |
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## Authors |
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**Peng-Yi Lin:** gigilinqoo@gmail.com |
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**Yao-Chung Fan:** yfan@nchu.edu.tw |
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## About us |
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[中興大學自然語言處理實驗室](https://nlpnchu.org/)研究方向圍繞於深度學習技術在文字資料探勘 (Text Mining) 與自然語言處理 (Natural Language Processing) 方面之研究，目前實驗室成員的研究主題著重於機器閱讀理解 (Machine Reading Comprehension) 以及自然語言生成 (Natural Language Generation) 兩面向。 |
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## More Information |
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<p>For more info about Nchu NLP Lab, visit our <strong><a href="https://demo.nlpnchu.org/">Lab Online Demo</a></strong> repo and <strong><a href="https://github.com/NCHU-NLP-Lab">GitHub</a></strong>. |
