Instructions to use DjBROW/run with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DjBROW/run with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="DjBROW/run")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("DjBROW/run") model = AutoModelForTokenClassification.from_pretrained("DjBROW/run", 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 | |
| }, | |
| "dtype": "float32", | |
| "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": "\u0411\u0430\u043d\u043a \u043f\u043e\u043b\u0443\u0447\u0430\u0442\u0435\u043b\u044f", | |
| "1": "\u041f\u043e\u043b\u0443\u0447\u0430\u0442\u0435\u043b\u044c", | |
| "2": "\u0411\u0418\u041a \u0431\u0430\u043d\u043a\u0430 \u043f\u043e\u043b\u0443\u0447\u0430\u0442\u0435\u043b\u044f", | |
| "3": "\u0421\u0447\u0435\u0442 \u0431\u0430\u043d\u043a\u0430", | |
| "4": "\u0421\u0447\u0435\u0442 \u043f\u043e\u043b\u0443\u0447\u0430\u0442\u0435\u043b\u044f", | |
| "5": "\u0412\u0441\u0435\u0433\u043e \u043a \u043e\u043f\u043b\u0430\u0442\u0435", | |
| "6": "\u041f\u043e\u0441\u0442\u0430\u0432\u0449\u0438\u043a", | |
| "7": "\u041f\u043e\u043a\u0443\u043f\u0430\u0442\u0435\u043b\u044c", | |
| "8": "\u041e\u0441\u0442\u0430\u043b\u044c\u043d\u043e\u0435", | |
| "9": "\u041d\u043e\u043c\u0435\u0440 \u0441\u0447\u0435\u0442\u0430", | |
| "10": "\u0414\u0430\u0442\u0430", | |
| "11": "\u0418\u041d\u041d \u043f\u043e\u043b\u0443\u0447\u0430\u0442\u0435\u043b\u044f", | |
| "12": "\u041a\u041f\u041f \u043f\u043e\u043b\u0443\u0447\u0430\u0442\u0435\u043b\u044f" | |
| }, | |
| "image_feature_pool_shape": [ | |
| 7, | |
| 7, | |
| 256 | |
| ], | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
| "\u0411\u0418\u041a \u0431\u0430\u043d\u043a\u0430 \u043f\u043e\u043b\u0443\u0447\u0430\u0442\u0435\u043b\u044f": 2, | |
| "\u0411\u0430\u043d\u043a \u043f\u043e\u043b\u0443\u0447\u0430\u0442\u0435\u043b\u044f": 0, | |
| "\u0412\u0441\u0435\u0433\u043e \u043a \u043e\u043f\u043b\u0430\u0442\u0435": 5, | |
| "\u0414\u0430\u0442\u0430": 10, | |
| "\u0418\u041d\u041d \u043f\u043e\u043b\u0443\u0447\u0430\u0442\u0435\u043b\u044f": 11, | |
| "\u041a\u041f\u041f \u043f\u043e\u043b\u0443\u0447\u0430\u0442\u0435\u043b\u044f": 12, | |
| "\u041d\u043e\u043c\u0435\u0440 \u0441\u0447\u0435\u0442\u0430": 9, | |
| "\u041e\u0441\u0442\u0430\u043b\u044c\u043d\u043e\u0435": 8, | |
| "\u041f\u043e\u043a\u0443\u043f\u0430\u0442\u0435\u043b\u044c": 7, | |
| "\u041f\u043e\u043b\u0443\u0447\u0430\u0442\u0435\u043b\u044c": 1, | |
| "\u041f\u043e\u0441\u0442\u0430\u0432\u0449\u0438\u043a": 6, | |
| "\u0421\u0447\u0435\u0442 \u0431\u0430\u043d\u043a\u0430": 3, | |
| "\u0421\u0447\u0435\u0442 \u043f\u043e\u043b\u0443\u0447\u0430\u0442\u0435\u043b\u044f": 4 | |
| }, | |
| "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, | |
| "transformers_version": "4.57.3", | |
| "type_vocab_size": 2, | |
| "vocab_size": 30522 | |
| } | |