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Re-upload model after interruption

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Files changed (6) hide show
  1. README.md +15 -0
  2. config.json +54 -0
  3. manifest.json +1 -0
  4. model.safetensors +3 -0
  5. preprocessor_config.json +23 -0
  6. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: line_det_2.20
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # line_det_2.20
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+
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+ Text detection model for [surya](https://github.com/VikParuchuri/surya/)
config.json ADDED
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+ {
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+ "_name_or_path": "datalab-to/line_det_2.20",
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+ "architectures": [
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+ "EfficientViTForSemanticSegmentation"
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+ ],
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+ "attention_probs_dropout_prob": 0.0,
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+ "classifier_dropout_prob": 0.0,
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+ "decoder_hidden_size": 512,
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+ "decoder_layer_hidden_size": 128,
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+ "depths": [
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+ 1,
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+ 6,
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+ 6
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+ ],
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+ "head_dim": 32,
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+ "hidden_dropout_prob": 0.0,
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+ "hidden_sizes": [
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+ 32,
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+ 64,
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+ 160,
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+ 256
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+ ],
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+ "initializer_range": 0.02,
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+ "layer_norm_eps": 1e-06,
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+ "model_type": "efficientvit",
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+ "num_channels": 3,
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+ "num_classes": 2,
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+ "num_stages": 4,
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+ "patch_size": [
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+ 7,
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+ ],
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+ "pos_weight": 1.0,
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+ "semantic_loss_ignore_index": -1,
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+ "strides": [
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+ 2,
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+ 2,
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+ ],
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.49.0",
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+ "use_focal": false,
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+ "widths": [
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+ 32,
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+ 64,
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+ 128,
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+ 256,
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+ 512
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+ ]
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+ }
manifest.json ADDED
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preprocessor_config.json ADDED
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+ {
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+ "do_reduce_labels": true,
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+ "image_processor_type": "SegformerImageProcessor",
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+ "resample": 2,
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+ "size": {
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+ "height": 1200,
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+ }
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