| # src/model.py | |
| from transformers import BertForSequenceClassification | |
| import torch | |
| from config import MODEL_NAME, NUM_LABELS, DEVICE | |
| def get_model(): | |
| model = BertForSequenceClassification.from_pretrained( | |
| MODEL_NAME, | |
| num_labels=NUM_LABELS | |
| ) | |
| return model.to(DEVICE) |