Upload TableTransformerForObjectDetection
Browse files- config.json +52 -0
- pytorch_model.bin +3 -0
config.json
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{
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"_name_or_path": "microsoft/table-transformer-detection",
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"activation_dropout": 0.0,
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"activation_function": "relu",
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"architectures": [
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"TableTransformerForObjectDetection"
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],
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"attention_dropout": 0.0,
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"auxiliary_loss": false,
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"backbone": "resnet18",
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"backbone_config": null,
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"bbox_cost": 5,
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"bbox_loss_coefficient": 5,
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"ce_loss_coefficient": 1,
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"class_cost": 1,
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"d_model": 256,
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"decoder_attention_heads": 8,
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"decoder_ffn_dim": 2048,
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"decoder_layerdrop": 0.0,
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"decoder_layers": 6,
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"dice_loss_coefficient": 1,
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"dilation": false,
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"dropout": 0.1,
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"encoder_attention_heads": 8,
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"encoder_ffn_dim": 2048,
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"encoder_layerdrop": 0.0,
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"encoder_layers": 6,
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"eos_coefficient": 0.4,
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"giou_cost": 2,
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"giou_loss_coefficient": 2,
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"id2label": {
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"0": "LABEL_0"
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},
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"init_std": 0.02,
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"init_xavier_std": 1.0,
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"is_encoder_decoder": true,
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"label2id": {
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"LABEL_0": 0
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},
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"mask_loss_coefficient": 1,
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"max_position_embeddings": 1024,
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"model_type": "table-transformer",
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"num_channels": 3,
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"num_hidden_layers": 6,
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"num_queries": 15,
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"position_embedding_type": "sine",
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"scale_embedding": false,
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"torch_dtype": "float32",
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"transformers_version": "4.27.0.dev0",
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"use_pretrained_backbone": true,
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"use_timm_backbone": true
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:d5e848ab3c5f6268eb3881beb06c55e941f0f61bb87821a5c3a3ac7ff205695e
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size 115395029
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