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Update README.md (#5)

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- Update README.md (7f982da2fd72ce2089507845280446cce105b8e3)


Co-authored-by: Jorge Prado <[email protected]>

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@@ -68,7 +68,7 @@ It is important to acknowledge that the CDL (Crop Data Layer) labels employed in
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  The baseline model along with its results can be accessed [here](https://github.com/ClarkCGA/multi-temporal-crop-classification-baseline).
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  ### Inference
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- The github repo includes an inference script an inference script that allows to run the hls-cdl crop classification model for inference on HLS images. These input have to be geotiff format, including 18 bands for 3 time-step, and each time-step includes the channels described above (Blue, Green, Red, Narrow NIR, SWIR, SWIR 2) in order. There is also a **demo** that leverages the same code **[here](https://huggingface.co/spaces/ibm-nasa-geospatial/Prithvi-100M-multi-temporal-crop-classification-demo)**.
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  ### Feedback
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  The baseline model along with its results can be accessed [here](https://github.com/ClarkCGA/multi-temporal-crop-classification-baseline).
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  ### Inference
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+ The github repo includes an inference script that allows to run the hls-cdl crop classification model for inference on HLS images. These input have to be geotiff format, including 18 bands for 3 time-step, and each time-step includes the channels described above (Blue, Green, Red, Narrow NIR, SWIR, SWIR 2) in order. There is also a **demo** that leverages the same code **[here](https://huggingface.co/spaces/ibm-nasa-geospatial/Prithvi-100M-multi-temporal-crop-classification-demo)**.
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  ### Feedback
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