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
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library_name: transformers
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tags:
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license: apache-2.0
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pipeline_tag: image-classification
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base_model:
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library_name: transformers
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tags:
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- tengeop
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- SAR
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- EO
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- regression
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- sentinel-1
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- ocean
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- wave-height
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- earth-observation
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- remote-sensing
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- satellite-imagery
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- synthetic-aperture-radar
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- foundation-model
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- linear-probing
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- oceanography
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- marine-forecasting
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- open-source
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- ocean-wind
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license: apache-2.0
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pipeline_tag: image-classification
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base_model:
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