howanching-clara
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classifier_for_academic_texts

Text Classification

Generated from Trainer

Inference Endpoints

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howanching-clara commited on Apr 5

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@@ -56,7 +56,7 @@ from transformers import pipeline
 classifier = pipeline("text-classification", model="howanching-clara/classifier_for_academic_texts", tokenizer="howanching-clara/classifier_for_academic_texts")
 # return output for all labels
-# eg. [[{'label': 'OUT OF SCOPE', 'score': 0.011086337268352509}, {'label': 'MAIN TEXT', 'score': 0.7917709350585938}, {'label': 'EXAMPLE', 'score': 0.1910761147737503}, {'label': 'REFERENCE', 'score': 0.0060666087083518505}]]
 # classifier = pipeline("text-classification", model="howanching-clara/classifier_for_academic_texts", tokenizer="howanching-clara/classifier_for_academic_texts", return_all_scores=True)
 # Perform inference on your input text

 classifier = pipeline("text-classification", model="howanching-clara/classifier_for_academic_texts", tokenizer="howanching-clara/classifier_for_academic_texts")
 # return output for all labels
+# eg. [[{'label': 'OUT OF SCOPE', 'score': 0.007808608002960682}, {'label': 'MAIN TEXT', 'score': 0.028077520430088043}, {'label': 'EXAMPLE', 'score': 0.9601941108703613}, {'label': 'REFERENCE', 'score': 0.003919811453670263}]]
 # classifier = pipeline("text-classification", model="howanching-clara/classifier_for_academic_texts", tokenizer="howanching-clara/classifier_for_academic_texts", return_all_scores=True)
 # Perform inference on your input text