Model: privacy-tech-lab/LatModel
Author: privacy-tech-lab
Pipeline: text-classification
Library: transformers
Tags: transformers, pytorch, safetensors, bert, text-classification, endpoints_compatible, region:us
Card metadata: widget: text: 'boa\\",\\"postal_code\\":\\"1800-255\\",\\"address_1\\":\\"29 Avenida Marechal Gomes da Costa\\",\\"address_2\\":\\"#B1\\",\\"latitude\\":\\"<TARGET_LAT>\\",\\"localized_multi_line_address_display\\":[\\"29 Avenida Marechal Gomes da Costa\\",\\"#B1\\",\\"1800-255 Lisboa\\"],\\"localized_'
example_title: Lat True Positive Example, text: 'null,0,[[\\"0x470b94bf8b0c2a57:0x4e95622f0174b205\\",\\"Charles University - Rectorate, Ovocný trh 560/5, 116 36 Staré Město\\",[<TARGET_LAT>9999,14.4235127],\\"5662540060515676677\\"],\\"Charles University - Rectorate\\",[\\"Ovocný trh 560/5\\",\\"116 36 Staré Město\\"],4.'
example_title: Lat False Positive Example
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Created: 2022-11-06 17:27:15