google / google/forest-data-partnership
Deploying Model 2025b outside of GEE
- Dominant language
- Jupyter Notebook
- Stars
- 55
- Forks
- 15
- Avg merge
- 3m
- Merged PRs (30d)
- 1
Description
Hello team,
i've been running some geospatial processing tests and would like to know if it possible to deploy this model outside of GEE. My idea was to use the Alpha Earth Embeddings that are being hosted on source cooperative nowadays to try and deploy the model on a local GPU.
If it is possible, is the expected input a 64 embeddings vector or does it expected something else?
Thanks.
Contributor guide
Research direction
The issue names Model 2025b, Google Earth Engine, Alpha Earth Embeddings, and local GPU deployment, but no file or test entry point. Start by locating the model's deployment documentation or inference notebook and determine whether outside-GEE execution is supported and what input shape it requires. Done means documenting the supported deployment path and expected inputs.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, machine-learning
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100