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README.md

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-hello
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+tokenizer = AutoTokenizer.from_pretrained(model_checkpoint)
+model = AutoModelForSequenceClassification.from_pretrained('techthiyanes/Bert_Bahasa_Sentiment')
+inputs = tokenizer("saya tidak", return_tensors="pt")
+labels = torch.tensor([1]).unsqueeze(0) 
+outputs = model(**inputs, labels=labels)
+loss = outputs.loss
+logits = outputs.logits
+outputs