| import torch |
| from transformers import AutoModelForObjectDetection, TableTransformerForObjectDetection |
|
|
| def load_detection_model(): |
| model = AutoModelForObjectDetection.from_pretrained("microsoft/table-transformer-detection", revision="no_timm") |
| device = "cuda" if torch.cuda.is_available() else "cpu" |
| model.to(device) |
| return model, device |
|
|
| def load_structure_model(device): |
| model = TableTransformerForObjectDetection.from_pretrained("microsoft/table-structure-recognition-v1.1-all") |
| model.to(device) |
| return model |
|
|
