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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8994db473aee4e2d1e5d9faf69d5823ec864023c10abaf3686096edb48e91cd
- Size of remote file:
- 94.3 MB
- SHA256:
- adf6011192ac72b77271e47d94bb68e3f04c5f573d79354e36ce00bb2716f51e
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