romeokienzler commited on
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add links to notebooks

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  1. README.md +8 -1
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@@ -49,7 +49,14 @@ python inference.py --data_files t1.tif t2.tif t3.tif t4.tif --input_indices <op
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  ## Finetuning
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- You can finetune the model using [TerraTorch](https://github.com/IBM/terratorch). Examples of configs and notebooks are provided in the project repository: [github.com/NASA-IMPACT/Prithvi-EO-2.0](https://github.com/NASA-IMPACT/Prithvi-EO-2.0#fine-tuning).
 
 
 
 
 
 
 
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  ### Feedback
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  ## Finetuning
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+ You can finetune the model using [TerraTorch](https://github.com/IBM/terratorch). Examples of configs and notebooks are provided in the project repository: [github.com/NASA-IMPACT/Prithvi-EO-2.0](https://github.com/NASA-IMPACT/Prithvi-EO-2.0#fine-tuning).
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+ Example Notebooks:
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+ [Multitemporal Crop Segmentation](https://github.com/NASA-IMPACT/Prithvi-EO-2.0/blob/main/examples/example_multitemporalcrop.ipynb)
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+ [Landslide Segmentation](https://github.com/NASA-IMPACT/Prithvi-EO-2.0/blob/main/examples/example_landslide4sense.ipynb) [<b><i>>>Try it on Colab<<</i></b>](https://colab.research.google.com/github/NASA-IMPACT/Prithvi-EO-2.0/blob/main/examples/example_landslide4sense.ipynb) (Choose T4 GPU runtime)
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+ [Carbon Flux Prediction (Regression)](https://github.com/NASA-IMPACT/Prithvi-EO-2.0/blob/main/examples/carbon_flux/main_flux_finetune_baselines_trainer.ipynb)
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  ### Feedback
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