Image Feature Extraction
Transformers
Safetensors
resnet
SAR
RADAR
EO
backbone
ocean
wind
sentinel-1
Instructions to use galeio-research/OceanSAR-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use galeio-research/OceanSAR-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="galeio-research/OceanSAR-1")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("galeio-research/OceanSAR-1") model = AutoModel.from_pretrained("galeio-research/OceanSAR-1") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 32c49bfc5c0a53b256648b6f913c57a80832ebac8cbf6d5d64fe9a80c0bed90d
- Size of remote file:
- 1.13 MB
- SHA256:
- 93d8f94e73721585e9fa251a29de5fd5fc9b0ffc903d9aa8890787fac6355323
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