coreml/config.json

{
  "$schema": "https://huggingface.co/software-mansion/react-native-executorch-spec/resolve/main/config.schema.json",
  "model": "paddle_helpers",
  "family": "paddleocr",
  "capabilities": [
    "classification"
  ],
  "backend": "coreml",
  "license": "apache-2.0",
  "variants": [
    {
      "file": "paddle_helpers_coreml_int8.pte",
      "precision": "int8",
      "quantized": true,
      "default": true,
      "size_bytes": 11939898,
      "methods": {
        "dewarp": {
          "inputs": [
            {
              "shape": [
                1,
                3,
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                488
              ],
              "dtype": "float32"
            }
          ],
          "outputs": [
            {
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                31
              ],
              "dtype": "float32"
            }
          ]
        },
        "orientation": {
          "inputs": [
            {
              "shape": [
                1,
                3,
                224,
                224
              ],
              "dtype": "float32"
            }
          ],
          "outputs": [
            {
              "shape": [
                1,
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              ],
              "dtype": "float32"
            }
          ]
        },
        "table_decode_step": {
          "inputs": [
            {
              "shape": [
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                96
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              "dtype": "float32"
            },
            {
              "shape": [
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              "dtype": "float32"
            },
            {
              "shape": [
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              ],
              "dtype": "float32"
            }
          ],
          "outputs": [
            {
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              ],
              "dtype": "float32"
            },
            {
              "shape": [
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                256
              ],
              "dtype": "float32"
            }
          ]
        },
        "table_encode": {
          "inputs": [
            {
              "shape": [
                1,
                3,
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                488
              ],
              "dtype": "float32"
            }
          ],
          "outputs": [
            {
              "shape": [
                1,
                256,
                96
              ],
              "dtype": "float32"
            }
          ]
        }
      }
    }
  ]
}