Image Classification
Transformers
Safetensors
resnet
EO
SAR
sentinel-1
wind
ocean
earth-observation
remote-sensing
satellite-imagery
synthetic-aperture-radar
foundation-model
linear-probing
oceanography
marine-forecasting
open-source
ocean-wind
Instructions to use galeio-research/OceanSAR-1-wind with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use galeio-research/OceanSAR-1-wind with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="galeio-research/OceanSAR-1-wind") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("galeio-research/OceanSAR-1-wind") model = AutoModelForImageClassification.from_pretrained("galeio-research/OceanSAR-1-wind") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d455ba59fdbab432ad5d3b5444a92a5716f00cab09b45bd4195537d7052baeae
- Size of remote file:
- 94.3 MB
- SHA256:
- abead35884bcac0f4f37b6c197390e2026838f83d5bd63f0692b74ac4b149b96
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