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title: README
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pipelines with the community!<br />
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With a single command, you can upload any pipeline package, with a pretty
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model card and all required metadata auto-generated for you. The inference
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API currently supports NER out-of-the-box and you can try out your
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pipeline interactively in your browser. You'll also get a live URL for
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your package that you can pip install from anywhere for a smooth path from
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prototype all the way to production!
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<a href="https://
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<div class="underline">Upload
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href="https://
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To upload your
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href="https://github.com/
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library.
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<pre
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class="break-words leading-1 whitespace-pre-line text-xs md:text-sm text-gray-800">
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pip install
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huggingface-cli login
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python -m
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cd ./output/
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python -m
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More information: <a
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title: README
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emoji: 💡
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colorFrom: blue
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colorTo: purple
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sdk: static
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Insly.ai provides powerful AI-driven solutions for insurance data management and automation!<br />
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With our tools, insurers, brokers, and agents can streamline processes, automate document management, and use AI to improve workflows. Our platform allows easy integration and leverages machine learning to boost efficiency and accuracy in the insurance industry.
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<a href="https://insly.com" class="block overflow-hidden group">
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<img alt="" src="/front/assets/promo/insly_logo.png" class="w-40" />
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<div class="underline">Visit Insly website</div>
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</a>
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href="https://github.com/insly/insly-ai"
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<div class="flex items-center h-40 bg-[#ECFAFF] rounded-lg px-4 mb-2">
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<pre
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class="break-words leading-1 whitespace-pre-line text-xs text-gray-800">
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pip install insly-ai
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python -m insly.hub push [data_package] [--org] [--msg] [--local-repo] [--verbose]
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</pre>
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</div>
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<div class="underline">Upload insurance data models to the hub</div>
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</a>
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href="https://insly.com/ai-models"
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class="block overflow-hidden group"
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src="/front/assets/promo/insly_models.jpeg"
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<div class="underline">Discover all Insly.ai models on the Hub</div>
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</a>
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<div class="lg:col-span-3">
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To upload your insurance AI models to the Hub, you can use the <a
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href="https://github.com/insly/insly-ai"
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>insly-ai</a
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>
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library.
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</p>
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>
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<pre
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class="break-words leading-1 whitespace-pre-line text-xs md:text-sm text-gray-800">
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pip install insly-ai
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huggingface-cli login
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python -m insly package ./insurance_data_model ./output --build wheel
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cd ./output/insurance_data_model-0.0.0/dist
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python -m insly.hub push insurance_data_model-0.0.0-py3-none-any.whl
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</pre>
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</div>
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<p>
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More information: <a
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href="https://insly.com/ai-docs"
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class="underline">Insly.ai Documentation</a
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