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speyeria-classifier
mohammedelabbas/speyeria-classifier
speyeria-classifier is a image classification model from mohammedelabbas. Use it when you need a label for an image. It is set up for pytorch. The card lists the license as mit.
This repository contains a ResNet-50 based PyTorch classifier for identifying Speyeria species from images.
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At a glance
- Task
- Image Classification
- Library
- pytorch
- License
- mit
- Model type
- resnet
- Access
- Public
- Created
- Feb 6, 2026
- Updated
- Feb 6, 2026
- SHA
- db2e18a1
Model card
From the Hugging Face model README
Speyeria Classifier
This repository contains a ResNet-50 based PyTorch classifier for identifying Speyeria species from images.
Labels
The model predicts the following species (short labels are used in config.json):
- S. adiaste
- S. aphrodite
- S. atlantis
- S. callippe
- S. carolae
- S. coronis
- S. cybele
- S. diana
- S. edwardsii
- S. egleis
- S. hesperis
- S. hydaspe
- S. idalia
- S. mormonia
- S. nokomis
- S. zerene
Usage
Use model.py to instantiate the architecture and load weights:
from safetensors.torch import load_file
from model import create_model
model = create_model(num_classes=16)
state_dict = load_file("model.safetensors")
model.load_state_dict(state_dict)
model.eval()
Notes
config.jsoncontainsid2label/label2idmappings.- Weights are stored in
.safetensorsformat for safer deserialization.
- Task
- Image Classification
- Library
- pytorch
- Type
- resnet
- License
- mit
- Created
- Feb 6, 2026
- Updated
- Feb 6, 2026