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• Photography
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Custom-built

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🌠 Phenomenal Traffic: 5M - 10M visitors per month


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Keywords {🔍}

model, models, tasks, accuracy, val, refcoco, florence, vision, finetuned, generalist, test, cider, florencelarge, coco, performance, spaces, downstream, import, method, testa, testb, refcocog, specialist, microsoft, transformers, pretrained, foundation, captioning, fldb, zeroshot, inference, image, table, evaluation, params, collection, florencebaseft, florencelargeft, testdev, acc, microsoftflorencelarge, datasets, community, docs, pricing, imagetexttotext, arxiv, advancing, unified, representation,

Topics {✒️}

/datasets/huggingface/documentation-images/resolve/main/transformers/tasks/car fld-5b florence-2-base-ft[hf] downstream tasks florence-2-large-ft[hf] fld-5b florence-2-large[hf] collection model description florence-2-base[hf] microsoft / florence-2-large microsoft/florence-2-large generalist models florence-2-base-ft updated florence-2-large-ft 6 florence-2-large-ft 0 florence-2-large-ft florence-2-large model journal={arxiv preprint arxiv finetune florence-2 models 4 florence-2-base-ft florence-2-base-ft ocr task external ocr vqav2 test-dev acc textvqa test-dev acc 7 florence-2-large 6 florence-2-large florence-2 technical report expand benchmarks florence-2 master multi-task learning vision-language evaluation tasks florence-2-base model florence-2 florence-2 model tasks florence-2 fld-5b dataset transformers import autoprocessor title={florence-2 vision-language tasks florence-2 nocaps val cider textcaps val cider microsoft prompt-based approach 4k image-text 4k context length visual question answering specialist models pil import image refcocog val accuracy continued pretrained version fine-tuned settings fine-tuned specifically

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• What's the revenue for https://arxiv.org/abs/2311.06242?
• How much profit is https://apply.workable.com/huggingface/ making per month?

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