Instructions to use hsarfraz/donut-irs-tax-docs-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hsarfraz/donut-irs-tax-docs-classifier with Transformers:
# Load model directly from transformers import AutoImageProcessor, DonutForImageClassification processor = AutoImageProcessor.from_pretrained("hsarfraz/donut-irs-tax-docs-classifier") model = DonutForImageClassification.from_pretrained("hsarfraz/donut-irs-tax-docs-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_name_or_path": "/media/ms/DATA2/data/tuning_dataset_7/encoder", | |
| "architectures": [ | |
| "DonutForImageClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.0, | |
| "depths": [ | |
| 2, | |
| 2, | |
| 14, | |
| 2 | |
| ], | |
| "drop_path_rate": 0.1, | |
| "embed_dim": 128, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.0, | |
| "hidden_size": 1024, | |
| "id2label": { | |
| "0": "1040", | |
| "1": "1040_sch_1", | |
| "2": "1040_sch_2", | |
| "3": "1040_sch_3", | |
| "4": "1040_sch_8812", | |
| "5": "1040_sch_a", | |
| "6": "1040_sch_b", | |
| "7": "1040_sch_c", | |
| "8": "1040_sch_d", | |
| "9": "1040_sch_e", | |
| "10": "1040_sch_se", | |
| "11": "1040nr", | |
| "12": "1040nr_sch_oi", | |
| "13": "form_1125", | |
| "14": "form_8949", | |
| "15": "form_8959", | |
| "16": "form_8960", | |
| "17": "form_8995", | |
| "18": "form_8995_sch_a", | |
| "19": "letter", | |
| "20": "other_misc", | |
| "21": "w2" | |
| }, | |
| "image_size": [ | |
| 2560, | |
| 1920 | |
| ], | |
| "initializer_range": 0.02, | |
| "label2id": { | |
| "1040": 0, | |
| "1040_sch_1": 1, | |
| "1040_sch_2": 2, | |
| "1040_sch_3": 3, | |
| "1040_sch_8812": 4, | |
| "1040_sch_a": 5, | |
| "1040_sch_b": 6, | |
| "1040_sch_c": 7, | |
| "1040_sch_d": 8, | |
| "1040_sch_e": 9, | |
| "1040_sch_se": 10, | |
| "1040nr": 11, | |
| "1040nr_sch_oi": 12, | |
| "form_1125": 13, | |
| "form_8949": 14, | |
| "form_8959": 15, | |
| "form_8960": 16, | |
| "form_8995": 17, | |
| "form_8995_sch_a": 18, | |
| "letter": 19, | |
| "other_misc": 20, | |
| "w2": 21 | |
| }, | |
| "layer_norm_eps": 1e-05, | |
| "mlp_ratio": 4.0, | |
| "model_type": "donut-swin", | |
| "num_channels": 3, | |
| "num_heads": [ | |
| 4, | |
| 8, | |
| 16, | |
| 32 | |
| ], | |
| "num_layers": 4, | |
| "patch_size": 4, | |
| "path_norm": true, | |
| "qkv_bias": true, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.41.2", | |
| "use_absolute_embeddings": false, | |
| "window_size": 10 | |
| } | |