README.md

metadata

'[object Object]': null
language:
  - en
library_name: timm
pipeline_tag: image-classification
tags:
  - vision
  - mapreader
  - maps
  - National Library of Scotland
  - historical
  - lam
  - humanities
  - heritage

Model Card for {{ model_id | default("Model ID", true) }}

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Model Details

Model Description

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• Developed by: {{ developers | default("[More Information Needed]", true)}}
• Shared by [optional]: {{ shared_by | default("[More Information Needed]", true)}}
• Model type: {{ model_type | default("[More Information Needed]", true)}}
• Language(s) (NLP): {{ language | default("[More Information Needed]", true)}}
• License: {{ license | default("[More Information Needed]", true)}}
• Finetuned from model [optional]: {{ finetuned_from | default("[More Information Needed]", true)}}

Model Sources [optional]

• Repository: {{ repo | default("[More Information Needed]", true)}}
• Paper [optional]: {{ paper | default("[More Information Needed]", true)}}
• Demo [optional]: {{ demo | default("[More Information Needed]", true)}}

Uses

Direct Use

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Downstream Use [optional]

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Out-of-Scope Use

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Bias, Risks, and Limitations

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Recommendations

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How to Get Started with the Model

Use the code below to get started with the model.

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Training Details

Training Data

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Training Procedure

Preprocessing [optional]

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Training Hyperparameters

• Training regime: {{ training_regime | default("[More Information Needed]", true)}}

Speeds, Sizes, Times [optional]

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Evaluation

Testing Data, Factors & Metrics

Testing Data

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Factors

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Metrics

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Results

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Summary

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Model Examination [optional]

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Citation [optional]

BibTeX:

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APA:

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More Information [optional]

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Model Card Authors [optional]

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Model Card Contact

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Funding Statement

This work was supported by Living with Machines (AHRC grant AH/S01179X/1) and The Alan Turing Institute (EPSRC grant EP/N510129/1). Living with Machines, funded by the UK Research and Innovation (UKRI) Strategic Priority Fund, is a multidisciplinary collaboration delivered by the Arts and Humanities Research Council (AHRC), with The Alan Turing Institute, the British Library and Cambridge, King's College London, East Anglia, Exeter, and Queen Mary University of London.