Image Segmentation
fastai
PyTorch
geospatial
remote-sensing
semantic-segmentation
sentinel-1
alphaearth
surface-water
Instructions to use rohitm9/surfaceWaterGlobal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastai
How to use rohitm9/surfaceWaterGlobal with fastai:
from huggingface_hub import from_pretrained_fastai learn = from_pretrained_fastai("rohitm9/surfaceWaterGlobal") - Notebooks
- Google Colab
- Kaggle
Download src/__pycache__/train.cpython-311.pyc from rohitm9/surfaceWaterGlobal: direct link, hf CLI and curl.
- Browser
- Download file 151 kB
-
https://huggingface.co/rohitm9/surfaceWaterGlobal/resolve/main/src/__pycache__/train.cpython-311.pyc
- Command line
-
hf download hf://rohitm9/surfaceWaterGlobal/src/__pycache__/train.cpython-311.pyc
-
curl -L -o train.cpython-311.pyc https://huggingface.co/rohitm9/surfaceWaterGlobal/resolve/main/src/__pycache__/train.cpython-311.pyc
151 kB
- Xet hash:
- deebbbbd382cc889c9ef1f27ef6cbee7fe3002edcdd86ffb9905d0806dbcddc8
- Size of remote file:
- 151 kB
- SHA256:
- 088e5088a9fdb10c3fd2b807c02d47f806948c202abf60d59d71433cf72191e5
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