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1from transformers import AutoTokenizer, AutoModelForSequenceClassification
2import torch
3
4model_name = "blockenters/bert-based-uncased-agnews4-v01"
5tokenizer = AutoTokenizer.from_pretrained(model_name)
6model = AutoModelForSequenceClassification.from_pretrained(model_name)
7
8text = "NASA launches a new satellite into space"
9inputs = tokenizer(text, return_tensors="pt")
10
11with torch.no_grad():
12 outputs = model(**inputs)
13 predictions = torch.argmax(outputs.logits, dim=-1)
14
15print("Predicted label:", predictions.item())