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1import torch
2from transformers import AutoTokenizer
3
4model = torch.load("pytorch_model.bin")
5tokenizer = AutoTokenizer.from_pretrained("alfiyahqthz/roberta-multiclass-das")
6
7text = "I feel depressed"
8inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True)
9logits = model(inputs['input_ids'], inputs['attention_mask'])
10prediction = logits.argmax(dim=1).item()
11# 0=Depression, 1=Anxiety, 2=Stress