Image Classification
Transformers
Safetensors
resnet
tengeop
SAR
EO
regression
sentinel-1
ocean
wave-height
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-tengeop with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use galeio-research/OceanSAR-1-tengeop with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="galeio-research/OceanSAR-1-tengeop") 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-tengeop") model = AutoModelForImageClassification.from_pretrained("galeio-research/OceanSAR-1-tengeop") - Notebooks
- Google Colab
- Kaggle
Upload ResNetForImageClassification
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