Transformers
Safetensors
PyTorch
English
SegformerForSemanticSegmentation
semantic-segmentation
segformer
agricultural-cv
Eval Results (legacy)
Instructions to use mujerry/nematode-segformer-b3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mujerry/nematode-segformer-b3 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mujerry/nematode-segformer-b3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d400979186cc5e2ee56734567aa540a6a26805d794a7d0a17713887244d0169c
- Size of remote file:
- 189 MB
- SHA256:
- e94ac217f475156d7a5fa8b764f12751940d3fbbe0b5791ace8525a04914f503
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