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:
- 0b008ee4bef2b92e50cdaee672cccdc6b017428408b631ae435140b603514847
- Size of remote file:
- 5.27 kB
- SHA256:
- 52686aa0d192acaf557bc15dbd51c9bd7c4f5ddca9b60b78a68a125f51590bec
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