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entity-linking-model-final

Document Question Answering
Transformers
PyTorch
layoutlmv2
Inference Endpoints
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Adding model

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Files changed (2) hide show
  1. config.json +132 -0
  2. pytorch_model.bin +3 -0
config.json ADDED
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+ {
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+ "_name_or_path": "MTX-hackathon/models/entity_linking_model_final_huggingface.pt",
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+ "architectures": [
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+ "LayoutLMv2ForQuestionAnswering"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "convert_sync_batchnorm": true,
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+ "coordinate_size": 128,
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+ "detectron2_config_args": {
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+ "MODEL.ANCHOR_GENERATOR.SIZES": [
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+ "MODEL.BACKBONE.NAME": "build_resnet_fpn_backbone",
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+ "MODEL.FPN.IN_FEATURES": [
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+ "res2",
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+ "res3",
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+ "res4",
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+ "res5"
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+ ],
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+ "MODEL.MASK_ON": true,
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+ "MODEL.PIXEL_STD": [
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+ 57.375,
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+ 57.12,
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+ ],
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+ "MODEL.POST_NMS_TOPK_TEST": 1000,
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+ "MODEL.RESNETS.ASPECT_RATIOS": [
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+ "MODEL.RESNETS.DEPTH": 101,
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+ "MODEL.RESNETS.NUM_GROUPS": 32,
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+ "MODEL.RESNETS.OUT_FEATURES": [
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+ "res2",
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+ "res3",
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+ "res4",
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+ "res5"
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+ ],
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+ "MODEL.RESNETS.SIZES": [
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+ "MODEL.RESNETS.STRIDE_IN_1X1": false,
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+ "MODEL.RESNETS.WIDTH_PER_GROUP": 8,
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+ "MODEL.ROI_BOX_HEAD.NAME": "FastRCNNConvFCHead",
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+ "MODEL.ROI_BOX_HEAD.NUM_FC": 2,
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+ "MODEL.ROI_BOX_HEAD.POOLER_RESOLUTION": 14,
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+ "MODEL.ROI_HEADS.IN_FEATURES": [
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+ "p2",
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+ "p3",
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+ "p4",
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+ "p5"
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+ ],
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+ "MODEL.ROI_HEADS.NAME": "StandardROIHeads",
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+ "MODEL.ROI_HEADS.NUM_CLASSES": 5,
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+ "MODEL.ROI_MASK_HEAD.NAME": "MaskRCNNConvUpsampleHead",
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+ "MODEL.ROI_MASK_HEAD.NUM_CONV": 4,
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+ "MODEL.ROI_MASK_HEAD.POOLER_RESOLUTION": 7,
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+ "MODEL.RPN.IN_FEATURES": [
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+ "p2",
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+ "p3",
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+ "p4",
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+ "p5",
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+ "p6"
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+ "MODEL.RPN.POST_NMS_TOPK_TRAIN": 1000,
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+ "MODEL.RPN.PRE_NMS_TOPK_TEST": 1000,
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+ "MODEL.RPN.PRE_NMS_TOPK_TRAIN": 2000
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+ },
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+ "fast_qkv": true,
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+ "gradient_checkpointing": false,
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+ "has_relative_attention_bias": true,
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+ "has_spatial_attention_bias": true,
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+ "has_visual_segment_embedding": true,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "image_feature_pool_shape": [
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+ "layer_norm_eps": 1e-12,
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+ "max_2d_position_embeddings": 1024,
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+ "max_position_embeddings": 512,
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+ "max_rel_2d_pos": 256,
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+ "max_rel_pos": 128,
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+ "num_attention_heads": 12,
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+ "output_past": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.15.0",
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+ "type_vocab_size": 2,
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+ "vocab_size": 30522
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+ }
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