Image-to-Image
Transformers
Safetensors
English
cheque_regressor
document-understanding
cheque-processing
bounding-box-regression
resnet
indian-banking
Eval Results (legacy)
Instructions to use jaganadhg/cheque-field-regressor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jaganadhg/cheque-field-regressor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-to-image", model="jaganadhg/cheque-field-regressor")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jaganadhg/cheque-field-regressor", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "do_normalize": true, | |
| "do_resize": true, | |
| "image_mean": [ | |
| 0.485, | |
| 0.456, | |
| 0.406 | |
| ], | |
| "image_processor_type": "ChequeImageProcessor", | |
| "image_std": [ | |
| 0.229, | |
| 0.224, | |
| 0.225 | |
| ], | |
| "img_height": 512, | |
| "img_width": 1024 | |
| } | |