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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 452c7fbd5ae54c25d883e2ee887997f4d10f82ed6b8027ac78419ad12479e216
- Size of remote file:
- 397 Bytes
- SHA256:
- dbafe7a959475fb78f817e495f16a8180dd2c4cb8f5dd30ea1d702bb94f5fdd7
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