qhchina
/

BERT-EmotionIntensity-0.1

Text Classification

emotion-detection

sequence-classification

Inference Endpoints

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qhchina commited on Jul 7

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@@ -34,7 +34,7 @@ model_name = "qhchina/BERT-EmotionIntensity-0.1"
 tokenizer = BertTokenizer.from_pretrained(model_name)
 model = BertForSequenceClassification.from_pretrained(model_name)
-sentence = "达华侨居住的地区，疯狂地捣毁华侨的商店，洗劫华侨的财物，野蛮地殴打华侨，破坏华侨的车辆和看到的一切东西。他们对华侨大抢、大烧、大杀。种种暴行，简直同当年希特勒法西斯匪徒对待犹太人，和今天南非种族主义者对待非洲人，一模一样。"
 inputs = tokenizer(sentence, return_tensors="pt")

 tokenizer = BertTokenizer.from_pretrained(model_name)
 model = BertForSequenceClassification.from_pretrained(model_name)
+sentence = "到达华侨居住的地区，疯狂地捣毁华侨的商店，洗劫华侨的财物，野蛮地殴打华侨，破坏华侨的车辆和看到的一切东西。他们对华侨大抢、大烧、大杀。种种暴行，简直同当年希特勒法西斯匪徒对待犹太人，和今天南非种族主义者对待非洲人，一模一样。"
 inputs = tokenizer(sentence, return_tensors="pt")