Nicholas Broad
nbroad
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🪆 Introduction to Matryoshka Embedding Models
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8
Various pretrained models for analyzing documents. These need to be fine-tuned for a task
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naver-clova-ix/donut-base-finetuned-cord-v2
Image-to-Text • Updated • 25.1k • • 95 -
google/pix2struct-docvqa-base
Visual Question Answering • Updated • 4.94k • 37 -
google/pix2struct-docvqa-large
Visual Question Answering • Updated • 201 • 31 -
google/pix2struct-screen2words-base
Visual Question Answering • Updated • 137 • 24
Papers
2
spaces
9
models
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nbroad/nbroad-odesia-dipro-t1-f5yiqx2u
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nbroad/nbroad-odesia-dipromats-dcc7zgc1
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nbroad/nbroad-odesia-clm-rfjfhgaw
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nbroad/nbroad-odesia-clm-fwnjnrlg
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nbroad/nbroad-odesia-clm-f0utp5v4
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nbroad/bert-base-uncased
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nbroad/deberta-v3-base-prompt-injection-v2-O2
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nbroad/minilm-l6-v2-inf-edpt
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nbroad/deberta-v3-base-prompt-injection-v2-O3
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nbroad/deberta-v3-base-prompt-injection-v2-O4
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5
datasets
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nbroad/odesia-dipromats-seq-cls-v1
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34.9k
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nbroad/odesia-combined-dipromats-v1
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nbroad/odesia-preds2
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nbroad/odesia-2025-preds1
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nbroad/odesia-combined-v3
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89.5k
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nbroad/odesia-combined-v2
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155k
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nbroad/kaggle_rank_image
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3
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nbroad/sec-10k-samples
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nbroad/fewnerd-organizations
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175k
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nbroad/company_names
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