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README.md
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pipeline_tag: time-series-forecasting
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# Model Card for Chronos T5 Small Fine-Tuned Model
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## Summary
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This model is fine-tuned for time-series forecasting tasks and serves as a tool for both practical predictions and research into time-series modeling. It is based on the `amazon/chronos-t5-small` architecture and has been adapted using a dataset with 15 million rows of proprietary time-series data. Due to confidentiality restrictions, dataset details cannot be shared.
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[NIEXCHE (Fevzi KILAS)](https://niexche.github.io/)
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- amazon/chronos-t5-small
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pipeline_tag: time-series-forecasting
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---
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# Model Card for Chronos T5 Small Fine-Tuned Model
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<img align="center" height="350" src="https://media3.giphy.com/media/v1.Y2lkPTc5MGI3NjExYjRmcWUwaGFkbW1lczJoYzBjbHBxZjMyeDdhdDQycGdzamwyOGhiZyZlcD12MV9pbnRlcm5hbF9naWZfYnlfaWQmY3Q9Zw/ZtB2l3jHiJsFa/giphy.gif"/> </p>
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## Summary
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This model is fine-tuned for time-series forecasting tasks and serves as a tool for both practical predictions and research into time-series modeling. It is based on the `amazon/chronos-t5-small` architecture and has been adapted using a dataset with 15 million rows of proprietary time-series data. Due to confidentiality restrictions, dataset details cannot be shared.
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[NIEXCHE (Fevzi KILAS)](https://niexche.github.io/)
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![header](https://capsule-render.vercel.app/api?type=venom&height=150&text=👋%20NIEXCHE&textBg=false&fontColor=f3c1c0&fontAlign=46&animation=blink&stroke=800000&strokeWidth=45section=header)
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