Create README.md
Browse files
README.md
ADDED
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
language: zh
|
3 |
+
widget:
|
4 |
+
- text: "水稻生長的適宜溫度是多少?"
|
5 |
+
example_title: "LABEL_1"
|
6 |
+
- text: "心臟病的病因?"
|
7 |
+
example_title: "LABEL_0"
|
8 |
+
|
9 |
+
---
|
10 |
+
# Agriculture-Classification
|
11 |
+
|
12 |
+
This is a model used for classifying whether it is a agricultural question or not.
|
13 |
+
|
14 |
+
## Usage
|
15 |
+
|
16 |
+
### In Transformers
|
17 |
+
```python
|
18 |
+
from transformers import BertTokenizer, BertForSequenceClassification, pipeline
|
19 |
+
model_name = "NchuNLP/Agriculture-Classification"
|
20 |
+
tokenizer = BertTokenizer.from_pretrained(model_name)
|
21 |
+
model = BertForSequenceClassification.from_pretrained(model_name, num_labels=2)
|
22 |
+
|
23 |
+
# Get predictions
|
24 |
+
nlp = pipeline('text-classification', model=model, tokenizer=tokenizer)
|
25 |
+
query = "水稻生長的適宜溫度是多少?"
|
26 |
+
res = nlp(query)
|
27 |
+
```
|
28 |
+
|
29 |
+
## Authors
|
30 |
+
**Peng-Yi Lin:** gigilinqoo@gmail.com
|
31 |
+
|
32 |
+
**Yao-Chung Fan:** yfan@nchu.edu.tw
|
33 |
+
|
34 |
+
## About us
|
35 |
+
|
36 |
+
[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。
|
37 |
+
|
38 |
+
## More Information
|
39 |
+
|
40 |
+
<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>.
|