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1from transformers import AutoConfig, AutoModelForSequenceClassification, AutoTokenizer
2import torch
3device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
4
5config = AutoConfig.from_pretrained("erythropygia/distilbert-turkish-comment-analysis")
6tokenizer = AutoTokenizer.from_pretrained("erythropygia/distilbert-turkish-comment-analysis", config=config)
7model = AutoModelForSequenceClassification.from_pretrained("erythropygia/distilbert-turkish-comment-analysis", config=config)
8
9text = "Bu mağazanın ürünleri çok kötü sakın buradan almayın"
10inputs = tokenizer(text, return_tensors="pt")
11
12outputs = model(**inputs)
13_, predicted = torch.max(outputs.logits, dim=1)
14
15predicted_label = config.id2label[predicted.item()]
16print(predicted_label)
17
18#store_comment