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DarthReca
/
actu-direction-classification

Image Segmentation
Transformers
Safetensors
actu
feature-extraction
climate
geospatial
remote-sensing
spatiotemporal
multi-modal
earth-observation
time-series
hydrology
custom_code
Model card Files Files and versions
xet
Community

Instructions to use DarthReca/actu-direction-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DarthReca/actu-direction-classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-segmentation", model="DarthReca/actu-direction-classification", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("DarthReca/actu-direction-classification", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
actu-direction-classification
890 MB
Ctrl+K
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  • 1 contributor
History: 5 commits
DarthReca's picture
DarthReca
Update README.md
f9321f9 verified 10 months ago
  • .gitattributes
    1.52 kB
    initial commit 10 months ago
  • NOTICE.md
    1.28 kB
    Upload 4 files 10 months ago
  • README.md
    2.34 kB
    Update README.md 10 months ago
  • config.json
    867 Bytes
    Update config.json 10 months ago
  • convlstm.py
    6.92 kB
    Upload 4 files 10 months ago
  • model.safetensors
    890 MB
    xet
    Upload ACTUForImageSegmentation 10 months ago
  • modeling_actu.py
    11.4 kB
    Upload 4 files 10 months ago