ONNX

Clay Foundation Model

An open source AI model for Earth

Clay is a foundational model of Earth. It uses an expanded visual transformer upgraded to understand geospatial and temporal relations on Earth data. The model is trained as a self-supervised Masked Autoencoder (MAE).

The Clay model can be used in three main ways:

  • Generate semantic embeddings for any location and time.
  • Fine-tune the model for downstream tasks such as classification, regression, and generative tasks.
  • Use the model as a backbone for other models.

Where is what

CLAY is a fiscal sponsored project of the 501c3 non-profit Radiant Earth Foundation.

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model is not currently available via any of the supported third-party Inference Providers, and HF Inference API was unable to determine this model's library.