Image Segmentation
Transformers
Safetensors
agrifm
remote-sensing
agriculture
multispectral
temporal
segmentation
Instructions to use BiliSakura/AgriFM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BiliSakura/AgriFM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="BiliSakura/AgriFM")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BiliSakura/AgriFM", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add files using upload-large-folder tool
Browse files
README.md
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- segmentation
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# AgriFM
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## Model Description
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- segmentation
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> [!WARNING] we do not have a full checkpoint conversion validation, if you encounter pipeline loading failure and unsidered output, please contact me via bili_sakura@zju.edu.cn
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# AgriFM
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## Model Description
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