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:
- a06dfdb482b8a9693fff35df13af093a1ecf6453cea0a12227f0f84474009348
- Size of remote file:
- 378 MB
- SHA256:
- baf3ee630f70c9d6b71315f3a191157068946ede86b92fb9c48864ef0712ddb4
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