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Agriculture-Classification
NchuNLP/Agriculture-Classification
Agriculture-Classification is a text classification model from NchuNLP. Use it when you need a label for a piece of text. It is set up for transformers.
This is a model used for classifying whether it is a agricultural question or not.
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818 MB
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2
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jun 21, 2023
- Updated
- Jun 27, 2023
- SHA
- 72359241
Try a prompt
Model card
From the Hugging Face model README
Agriculture-Classification
This is a model used for classifying whether it is a agricultural question or not.
Usage
In Transformers
from transformers import BertTokenizer, BertForSequenceClassification, pipeline
model_name = "NchuNLP/Agriculture-Classification"
tokenizer = BertTokenizer.from_pretrained(model_name)
model = BertForSequenceClassification.from_pretrained(model_name, num_labels=2)
# Get predictions
nlp = pipeline('text-classification', model=model, tokenizer=tokenizer)
query = "水稻生長的適宜溫度是多少？"
res = nlp(query)
Authors
Peng-Yi Lin: [email protected]
Yao-Chung Fan: [email protected]
About us
中興大學自然語言處理實驗室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。
More Information
<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>.- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Languages
- zh
- Created
- Jun 21, 2023
- Updated
- Jun 27, 2023