Image Segmentation
Transformers
English
Chinese
remote sensing
vision language model
semi-supervised
Instructions to use fluorites/SemiEarth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fluorites/SemiEarth with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="fluorites/SemiEarth")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fluorites/SemiEarth", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea9c5765a00b409f187bb934b66a4f1ed0a07c603d7edbbfe615c3750e098b70
- Size of remote file:
- 1.56 GB
- SHA256:
- 27e78e4953e11bcecbef4643733dd5c93ee9669d75c7668a9ec783241abe232e
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