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internetoftim
/
dinov2-base-eurosat

Image Classification
Transformers
PyTorch
vit
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  Using: [https://github.com/graphcore/Gradient-HuggingFace/tree/main/image-classification](https://github.com/graphcore/Gradient-HuggingFace/commit/826b72cba150be52e7420a3440a31e3096b73c78)
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  Poplar SDK: v3.2.1
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  Dataset:
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  option 1: local/remote files (supporting the following formats: tar, gzip, zip, xz, rar, zstd)
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  url = "https://madm.dfki.de/files/sentinel/EuroSAT.zip"
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  files = list(Path(dataset_dir).rglob("EuroSAT.zip"))
 
 
 
 
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  Using: [https://github.com/graphcore/Gradient-HuggingFace/tree/main/image-classification](https://github.com/graphcore/Gradient-HuggingFace/commit/826b72cba150be52e7420a3440a31e3096b73c78)
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+ Run the notebooks in this repository:
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+ [![Run on Gradient](https://assets.paperspace.io/img/gradient-badge.svg)](https://ipu.dev/3YOs4Js)
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  Poplar SDK: v3.2.1
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  Dataset:
 
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  option 1: local/remote files (supporting the following formats: tar, gzip, zip, xz, rar, zstd)
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  url = "https://madm.dfki.de/files/sentinel/EuroSAT.zip"
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  files = list(Path(dataset_dir).rglob("EuroSAT.zip"))
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+ [![Ask for help in GC Slack ](https://img.shields.io/badge/Slack-Join%20Graphcore's%20Community-blue?style=flat-square&logo=slack)](https://www.graphcore.ai/join-community)