| from transformers import AutoTokenizer, AutoModelForSequenceClassification | |
| import torch | |
| def predict(text): | |
| tokenizer = AutoTokenizer.from_pretrained("username/model_name") | |
| model = AutoModelForSequenceClassification.from_pretrained("username/model_name") | |
| inputs = tokenizer(text, return_tensors="pt") | |
| with torch.no_grad(): | |
| logits = model(**inputs).logits | |
| predicted_class_id = logits.argmax().item() | |
| return predicted_class_id | |