Instructions to use ProtoFaze/layoutlmv2_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ProtoFaze/layoutlmv2_output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ProtoFaze/layoutlmv2_output")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("ProtoFaze/layoutlmv2_output") model = AutoModelForTokenClassification.from_pretrained("ProtoFaze/layoutlmv2_output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "LayoutLMv2ForTokenClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "convert_sync_batchnorm": true, | |
| "coordinate_size": 128, | |
| "detectron2_config_args": { | |
| "MODEL.ANCHOR_GENERATOR.SIZES": [ | |
| [ | |
| 32 | |
| ], | |
| [ | |
| 64 | |
| ], | |
| [ | |
| 128 | |
| ], | |
| [ | |
| 256 | |
| ], | |
| [ | |
| 512 | |
| ] | |
| ], | |
| "MODEL.BACKBONE.NAME": "build_resnet_fpn_backbone", | |
| "MODEL.FPN.IN_FEATURES": [ | |
| "res2", | |
| "res3", | |
| "res4", | |
| "res5" | |
| ], | |
| "MODEL.MASK_ON": true, | |
| "MODEL.PIXEL_STD": [ | |
| 57.375, | |
| 57.12, | |
| 58.395 | |
| ], | |
| "MODEL.POST_NMS_TOPK_TEST": 1000, | |
| "MODEL.RESNETS.ASPECT_RATIOS": [ | |
| [ | |
| 0.5, | |
| 1.0, | |
| 2.0 | |
| ] | |
| ], | |
| "MODEL.RESNETS.DEPTH": 101, | |
| "MODEL.RESNETS.NUM_GROUPS": 32, | |
| "MODEL.RESNETS.OUT_FEATURES": [ | |
| "res2", | |
| "res3", | |
| "res4", | |
| "res5" | |
| ], | |
| "MODEL.RESNETS.SIZES": [ | |
| [ | |
| 32 | |
| ], | |
| [ | |
| 64 | |
| ], | |
| [ | |
| 128 | |
| ], | |
| [ | |
| 256 | |
| ], | |
| [ | |
| 512 | |
| ] | |
| ], | |
| "MODEL.RESNETS.STRIDE_IN_1X1": false, | |
| "MODEL.RESNETS.WIDTH_PER_GROUP": 8, | |
| "MODEL.ROI_BOX_HEAD.NAME": "FastRCNNConvFCHead", | |
| "MODEL.ROI_BOX_HEAD.NUM_FC": 2, | |
| "MODEL.ROI_BOX_HEAD.POOLER_RESOLUTION": 14, | |
| "MODEL.ROI_HEADS.IN_FEATURES": [ | |
| "p2", | |
| "p3", | |
| "p4", | |
| "p5" | |
| ], | |
| "MODEL.ROI_HEADS.NAME": "StandardROIHeads", | |
| "MODEL.ROI_HEADS.NUM_CLASSES": 5, | |
| "MODEL.ROI_MASK_HEAD.NAME": "MaskRCNNConvUpsampleHead", | |
| "MODEL.ROI_MASK_HEAD.NUM_CONV": 4, | |
| "MODEL.ROI_MASK_HEAD.POOLER_RESOLUTION": 7, | |
| "MODEL.RPN.IN_FEATURES": [ | |
| "p2", | |
| "p3", | |
| "p4", | |
| "p5", | |
| "p6" | |
| ], | |
| "MODEL.RPN.POST_NMS_TOPK_TRAIN": 1000, | |
| "MODEL.RPN.PRE_NMS_TOPK_TEST": 1000, | |
| "MODEL.RPN.PRE_NMS_TOPK_TRAIN": 2000 | |
| }, | |
| "fast_qkv": true, | |
| "gradient_checkpointing": false, | |
| "has_relative_attention_bias": true, | |
| "has_spatial_attention_bias": true, | |
| "has_visual_segment_embedding": false, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "Ignore", | |
| "1": "Store_name_value", | |
| "2": "Store_name_key", | |
| "3": "Store_addr_value", | |
| "4": "Store_addr_key", | |
| "5": "Tel_value", | |
| "6": "Tel_key", | |
| "7": "Date_value", | |
| "8": "Date_key", | |
| "9": "Time_value", | |
| "10": "Time_key", | |
| "11": "Prod_item_value", | |
| "12": "Prod_item_key", | |
| "13": "Prod_quantity_value", | |
| "14": "Prod_quantity_key", | |
| "15": "Prod_price_value", | |
| "16": "Prod_price_key", | |
| "17": "Subtotal_value", | |
| "18": "Subtotal_key", | |
| "19": "Tax_value", | |
| "20": "Tax_key", | |
| "21": "Tips_value", | |
| "22": "Tips_key", | |
| "23": "Total_value", | |
| "24": "Total_key", | |
| "25": "Others" | |
| }, | |
| "image_feature_pool_shape": [ | |
| 7, | |
| 7, | |
| 256 | |
| ], | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
| "Date_key": 8, | |
| "Date_value": 7, | |
| "Ignore": 0, | |
| "Others": 25, | |
| "Prod_item_key": 12, | |
| "Prod_item_value": 11, | |
| "Prod_price_key": 16, | |
| "Prod_price_value": 15, | |
| "Prod_quantity_key": 14, | |
| "Prod_quantity_value": 13, | |
| "Store_addr_key": 4, | |
| "Store_addr_value": 3, | |
| "Store_name_key": 2, | |
| "Store_name_value": 1, | |
| "Subtotal_key": 18, | |
| "Subtotal_value": 17, | |
| "Tax_key": 20, | |
| "Tax_value": 19, | |
| "Tel_key": 6, | |
| "Tel_value": 5, | |
| "Time_key": 10, | |
| "Time_value": 9, | |
| "Tips_key": 22, | |
| "Tips_value": 21, | |
| "Total_key": 24, | |
| "Total_value": 23 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "max_2d_position_embeddings": 1024, | |
| "max_position_embeddings": 512, | |
| "max_rel_2d_pos": 256, | |
| "max_rel_pos": 128, | |
| "model_type": "layoutlmv2", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "output_past": true, | |
| "pad_token_id": 0, | |
| "rel_2d_pos_bins": 64, | |
| "rel_pos_bins": 32, | |
| "shape_size": 128, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.51.3", | |
| "type_vocab_size": 2, | |
| "vocab_size": 30522 | |
| } | |