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ibm-nasa-geospatial
/
Prithvi-EO-1.0-100M

Transformers
Pytorch
Geospatial
Temporal ViT
Vit
Model card Files Files and versions
xet
Community
26

Instructions to use ibm-nasa-geospatial/Prithvi-EO-1.0-100M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ibm-nasa-geospatial/Prithvi-EO-1.0-100M with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("ibm-nasa-geospatial/Prithvi-EO-1.0-100M", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Prithvi 1.0 still supported?

1
#26 opened about 1 year ago by
tishyac3141

Add pipeline tag, library name and link to paper

#25 opened about 1 year ago by
nielsr

Linear probing on pixel data

#24 opened over 1 year ago by
rouhinmitra

non temporal datasets

👍 1
1
#23 opened about 2 years ago by
Ahmedemam576

On preparing new datasets

12
#22 opened about 2 years ago by
fnc00

Cloud Cover

#21 opened over 2 years ago by
Maz22

Queries regarding training

3
#20 opened over 2 years ago by
rakshith25

Evaluation for images

#19 opened over 2 years ago by
TTAyanlade

How does pre-training on contiguous United States data affect model performance in other regions?

2
#17 opened over 2 years ago by
hyzhak

How did having 2 extra bits of resolution in OLI2 vs OLI (Operational Land Imager) affect the training process of the foundation model?

1
#16 opened over 2 years ago by
hyzhak

How can we fine tune the Models

6
#15 opened over 2 years ago by
roopesh

may I ask what is those data duration?

#14 opened over 2 years ago by
sophiezang

Insight about Prithvi

6
#13 opened over 2 years ago by
AnuIdame

Created config.json from Prithvi100M_config.yaml

1
#8 opened over 2 years ago by
jogi-karan
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